Offered Master- and Bachelors Theses

We are always searching for good students and have many good opportunities. However, we are also open to suggestions by students as long as they touch the topics relevant to intelligent systems.

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Note: These are only for TU Darmstadt students. Please contact Jan Peters ( or any other Team Member for more information.

Ongoing

Ongoing B.Sc. and M.Sc. Theses / B.Sc. und M.Sc. Themen in Bearbeitung

StudentAdvisorTypeTopic
Jonas SperlingRiad AkrourM.Sc.Intrinsically Motivated Tactile In-Hand Manipulation
Felix HelfensteinDavide Tateo, Carlo D'Eramo, Tianyu RenB.Sc.Benchmarking Deep Reinforcement Learning Algorithms
Patrick KrabbeJan PetersM.Sc.Learning Riemannian Movement Primitives for Manipulation
Alexander KleinJan Peters, Andras KupcsikM.Sc.Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors
Moritz SchrammDorothea KoertB.Sc.Development of an Interactive Gesture Recognition System for an Assistive Robot
Albert SchotschneiderDorothea Koert, Joni PajarinenM.Sc.Multi-Agent Reinforcement Learning for Autonomous Driving
Marius ZoellerMichael LutterB.Sc.Graph Networks for MBRL
Zhenhui ZhouPuze Liu, Julen Urain De JesusM.Sc.Model-Based Policy Search in Multi-Arm Bandit problem
Mattis KaemmererJoao CarvalhoM.Sc.Stochastic Computational Graphs for MVDs
Jonas EschmannFabio Muratore, Claudio ZitoM.Sc.Partially Supervised Deep Meta Reinforcement Learning (for Sim2Real Transfer)
David RotherFabio Muratore, Thomas WeisswangeM.Sc.Reinforcement Learning inDecentralized Multi-GoalMulti-Agent Settings
Hanyu SunJulen Urain De JesusM.Sc.Can we improve time-series classification with Inverse Reinforcement Learning?
Lanmiao LiuJulen Urain De JesusM.Sc.Detection and Prediction of Human Gestures by Probabilistic Modelling
Jianhang HePuze LiuM.Sc.Imitation Learning with Energy Based Models
Daniel PalenicekMichael LutterM.Sc.Model Based Reinforcement Learning
Yanhua ZhangTuan Dam, Pascal KlinkM.Sc.Memory Representations for Partially Observable Reinforcement Learning
Kay HanselSvenja Stark, Hany AbdulsamadM.Sc.Probabilistic Dynamic Mode Primitives
Janosch MoosSvenja Stark, Oleg Arenz, Hany AbdulsamadM.Sc.Approximate Variational Inference For Mixture Models
Axel PatzwahlGeorgia ChalvatzakiM.Sc.Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseball
Cedric DerstroffTuan Dam, Georgia Chalvatzaki, Joni PajarinenM.Sc.Memory Representations for Partially Observable Reinforcement Learning
Max NiessingGeorgia ChalvatzakiM.Sc.Learning latent object representations for grasp generation ​with generative-adversarial models
Haoyi YangPascal KlinkM.Sc.Variational Inference for Curriculum Reinforcement Learning

Ongoing IP Projects

TopicStudentsAdviser
Benchmarking MAB & BBO for GraspingJiawei Huang, Niklas BabendererdeJulen Urain, Puze Liu
Simulation-Based Inference for Sim-to-Real TransferTheo Gruner, Arlene Kuhn, Florian WieseFabio Muratore, Boris Belousov
Implementing and Evaluating Sim-to-Real AlgorithmsFabian Damken, Heiko Carrasco, Benedikt Hahner, Julien BrosseitFabio Muratore
Guided Dimensionality Reduction for Black-Box OptimizationWenhua Bao, Marius MemmelPuze Liu, Davide Tateo
Bayesian Optimization for System Identification in Robot Air HockeyChen Xue. Verena SieburgerPuze Liu, Davide Tateo
Probabilistic Object Tracking using Depth CarmeraJan Emrich, Simon KiefhaberNiklas Funk, Boris Belousov, Georgia Chalvatzaki
Object Tracking using Depth CarmeraLeon Magnus, Svenja Menzenbach, Max SiebenbornNiklas Funk, Boris Belousov, Georgia Chalvatzaki
Benchmarking advances in MCTS in Go and ChessSijun Kwon, Lukas SchneiderTuan Dam, Carlo D'eramo
Learning Laplacian Representations for continuous MCTSDaniel Mansfeld, Alex RuffiniTuan Dam, Georgia Chalvatzaki
Benchmarking MPC Solvers in the Era of Deep Reinforcement LearningDarya Nikitina, Tristan SchulzJoe Watson
Architectural Assembly: Simulation and OptimizationJan SchneiderBoris Belousov, Georgia Chalvatzaki
Learning Robot Primitives from videoDaniel Musekamp, Marco RettigJoao Carvalho, Dorothea Koert
Improving and Scaling the Nonparametric GradientFabio d'Aquino Hilt, Jan Kolf, Christian WeilandJoao Carvalho, Samuele Tosatto

Completed

Only TU Darmstadt Theses and the Theses of IAS members from before the move to TU Darmstadt are listed.

Completed PhD Theses

Tosatto, S. (2021). Towards Reinforcement Learning for Industrial Robotics, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2020). Sample-Efficient I-Projections for Robot Learning, Ph.D. Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2020). Interactive Machine Learning for Assistive Robots, Ph.D. Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lampariello, R. (2020). Optimal Motion Planning for Object Interception and Grasping, Ph.D. Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Tanneberg, D. (2020). Understand-Compute-Adapt: Neural Networks for Intelligent Agents, Ph.D. Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Tosatto, S. (2020). Reinforcement Learning for Robotics, Ph.D. Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Buechler, D. (2019). Robot Learning for Muscular Systems, Ph.D. Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2019). Bidirectional Human-Robot Learning: Imitation and Skill Improvement, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W. (2019). Using Mean Embeddings for State Estimation and Reinforcement Learning, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Gonzalez, S. (2019). Real Time Probabilistic Models for Robot Trajectories, Ph.D. Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S. (2019). Reinforcement Learning with Sparse and Multiple Rewards, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koc, O. (2018). Optimal Trajectory Generation and Learning Control for Robot Table Tennis, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2018). Parsing Motion and Composing Behavior for Semi-Autonomous Manipulation, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F. (2018). Toward Dextrous In-Hand Manipulation through Tactile Sensing, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S. (2017). Learning Sequential Skills for Robot Manipulation Tasks, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Paraschos, A. (2017). Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vinogradska, J. (2017). Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R. (2016). Bayesian Modeling for Optimization and Control in Robotics, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C. (2016). Learning Hierarchical Policies from Human Feedback, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hoof, H.v. (2016). Machine Learning through Exploration for Perception-Driven Robotics, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O. (2015). Machine Learning for Robot Grasping and Manipulation, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2013). Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z. (2013). Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Model, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J. (2012). Learning Motor Skills: From Algorithms to Robot Experiments, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D (2011). Model Learning in Robot Control, PhD Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Master Theses

Rathjens, J. (2021). Accelerated Policy Search, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Borhade, P. (2020). Multi-agent reinforcement learning for autonomous driving, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Dorau, T. (2020). Distributionally Robust Optimization for Optimal Control, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Galljamov, R. (2020). Sample-Efficient Learning-Based Controller for Bipedal Walking in Robotic Systems, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Georgos, A. (2020). Robotics under Partial Observability, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Lautenschlaeger, T. (2020). Variational Inference for Switching Dynamics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mentzendorff, E.; (2020). Multi-Objective Deep Reinforcement Learning through Manifold Optimization, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Ploeger, K. (2020). High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Semmler, M. (2020). Sequential Bayesian Optimal Experimental Design for Nonlinear Dynamics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sharma, S. (2020). SAC-RL: Continuous Control of Wheeled Mobile Robot for Navigation in a Dynamic Environment, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tekam, S. (2020). A Gaussian Mixture ModelApproach to Off-Policy PolicyGradient Estimation, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tengang, V. M. (2020). 3D Pose Estimation for Robot Mikado, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Weimar, J. (2020). Exploring Intrinsic Motivation for Quanser Reinforcement Learning Benchmark Systems, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Williamson, L. (2020). Learning Nonlinear Dynamical Systems with the Koopman Operator, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Zecevic, M. (2020). Learning Algorithms, Invariances, and the Real World, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Baig, I. (2019). Deep End-to-End Calibration Thesis, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Becker, P. (2019). Expected Information Maximization: Using the I-Projection for Mixture Density Estimation, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bous, F. (2019). Generating Spectral Envelopes for Singing Synthesis with Neural Networks, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Carvalho, J.A.C. (2019). Nonparametric Off-Policy Policy Gradient, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Cui, K. (2019). A Study on TD-Regularized Actor-Critic Methods, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Delfosse, Q. (2019). Grasping Objects Using a Goal-Discovering Architecture for Intrinsically-Motivated Learning, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Eschenbach, M. (2019). Metric-based Imitation Learning, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Hartmann, V. (2019). Efficient Exploration using Value Bounds in Deep Reinforcement Learning, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hoffmann, D. (2019). Pedestrian Detection, Tracking and Intention Prediction in the context of autonomous Driving, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Hubecker, S. (2019). Curiosity Driven Reinforcement Learning for Autonomous Driving, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Huegelmann, N. (2019). Generating adaptable and reusable robot movements for a robot kitchen, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Jukonyte, L. (2019). Probabilistic Motion and Intention Prediction for Autonomous Vehicles, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Kircher, M. (2019). Learning from Human Feedback: a Comparison of Interactive Reinforcement Learning Algorithms, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Klink, P. (2019). Generalization and Transferability in Reinforcement Learning, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Knaust, M. (2019). Intuitive imitation learning for one-handed and bimanual tasks using ProMPs, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lamprecht, M. (2019). Benchmarking Robust Control against Reinforcement Learning Methods on a Robotic Balancing Problem, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Laux, M. (2019). Deep Adversarialreinforcement Learning for Object Disentangling, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Liu, Z. (2019). Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mohan, D.S. (2019). Learning hand adjustments for haptic interactions, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Nass, D. (2019). Risk-Sensitive Policy Search with Applications to Robot-Badminton, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nickl, P. (2019). Bayesian Inference for Regression Models using Nonparametric Infinite Mixtures, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pal, S. (2019). Deep Robot Reinforcement Learning for Assisting a Human, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Sadybakasov, A. (2019). Learning Vision-Based Tactile Skills for Robotic Architectural Assembly, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Saoud, H. (2019). Improving Sample-Efficiency with a Model-Based Deterministic Policy Gradient, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Schultheis, M. (2019). Approximate Bayesian Reinforcement Learning for System Identification, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Weigand, S. (2019). Guided Reinforcement Learning Under Partial Observability, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilberg, A. (2019). An Exploration of Interacting Machine Learning Methods for Agent Navigation, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Woelker, A. (2019). Local Pixel Manipulation Detection with Deep Neural Networks, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zhang, S. (2019). Integration of self-imitation and model-based learning to actor-critic algorithms, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Ziese, A. (2019). Fast Multi-Objective Redundancy Resolution for Highly-Redundant Mobile Robots, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Brandherm, F. (2018). Learning Replanning Policies with Direct Policy Search, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Celik, O. (2018). Chance Constraints for Stochastic Optimal Control and Stochastic Optimization, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dienlin, D. (2018). Generative Adverserial Models for Deep Driving, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Dittmar, D. (2018). Distributed Reinforcement Learning with Neural Networks for Robotics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ritter, C. (2018). Deep Learning of Inverse Dynamic Models, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Song, Y. (2018). Minimax and entropic proximal policy optimization, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thai, H. L. (2018). Deep Reinforcement Learning for POMDPs, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Treede, F. (2018). Learning Robust Control Policies from Simulations with Perturbed Parameters, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Trick, S. (2018). Multimodal Uncertainty Reduction for Intention Recognition in a Human-Robot Environment, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Wang, Z. (2018). Representation Learning for Tactile Manipulation, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zhi, R. (2018). Deep reinforcement learning under uncertainty for autonomous driving, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ahmad, P. (2017). Analysis of Financial Big Data using Machine Learning and Graph Processing, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Beckmann, L. (2017). Lane estimation with deep neural networks, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Gabriel, A. (2017). Empowered Skills, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gadiya, P. (2017). Large Scale Real-Time Data Analytics Platform for Energy Exchange, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Gondaliya, K. (2017). Learning to Categorize Issues in Distributed Bug Tracker Systems, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Hoelscher, J. (2017). Interactive Planning Under Uncertainty, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pinsler, R. (2017). Data-Efficient Learning of Robotic Grasps From Human Preferences, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sharma, D. (2017). Adaptive Training Strategies for Brain Computer Interfaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Shinde, S. (2017). POMDPs for Continuous States and Observations for Robotics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Weibrecht, N. (2017). Auswertung von Sensordaten mit Machine Learning Algorithmen, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Abbenseth, J. (2016). Cooperative Path-Planning for Service Robots, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Abdulsamad, H. (2016). Stochastic Optimal Control with Linearized Dynamics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Achieser, I. (2016). Potential evaluation of eye- and headtracking data as a robust and real-time capable predictor for driver intention detection and integration into an algorithm for maneuver prediction, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Belousov, B. (2016). Optimal Control of Ball Catching, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hüttenrauch, M. (2016). Guided Deep Reinforcement Learning for Robot Swarms, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2016). Learning a Filter for Noise Attenuation in EEG Data for Brain-Computer Interfaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2016). Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kohlschuetter, J. (2016). Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2016). Multi-Group Factor Extension of the GrouPS algorithm and Real-World Robot Learning, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Schuster, R. (2016). 3D Object Proposals from Stereo and Optical Flow, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Stapf, E. (2016). Predicting Traffic Flows for Traffic Engineering in Software-Defined Networks, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2016). Learning Probabilistic Feedforward and Feedback Policies for Generating Stable Walking Behaviors, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D. (2016). Context-driven Movement Primitive Adaptation, Master Thesis, IAS, TU Darmstadt.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Novoty, M. (2015). Application of Decision-Support Technologies for an Autonomous Evasion System for UAVs, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Tanneberg, D. (2015). Spiking Neural Networks Solve Robot Planning Problems, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vandommele, T. (2015). Entwicklung eines Algorithmus zur Klassifikation von Schläfrigkeit durch videobasierte Fahrerbeobachtung, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Wieland, A. (2015). Probabilistic Methods for Forecasting of Electric Load Profiles, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2014). Feature Extraction for Inverse Reinforcement Learning, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Barnikol, S. (2014). Machine Learning for Active Gait Support with a Powered Ankle Prosthesis, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chebotar, Y. (2014). Learning Robot Tactile Sensing for Object Manipulation, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2014). Value-Function-Based Reinforcement Learning with Temporal Differences, Masters Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W. (2014). Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kamthe, S. (2014). Multi-modal Inference in Time Series, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S. (2014). Learning Sequential Skills for Robot Manipulation Tasks, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Merfels, C. (2014). Large-scale probabilistic feature mapping and tracking for autonomous driving, Masters Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Mindt, M. (2014). Probabilistic Inference for Movement Planning in Humanoids, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mundo, J. (2014). Extracting Low-Dimensional Control Variables for Movement Primitives, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2014). 3D Object Reconstruction from Partial Views, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ringwald, J. (2014). Combination of Movement Primitives for Robotics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zeiss, S. (2014). Manipulation Skill for Robotic Assembly, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Haji Ghasemi, N. (2013). Approximate Gaussian Process Inference with Periodic Kernels, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2013). Learning time-dependent feedback policies with model-based policy search, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schmitt, F. (2013). Probabilistic Nonlinear Model Predictive Control based on Pontryagin`s Minimum Principle, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C. (2012). Hierarchical Relative Entropy Policy Search, Masters Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Gopalan, N. (2012). Feedback Error Learning for Gait Acquisition, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zhou, R. (2012). Free Space Detection Based On Occupancy Gridmaps, Masters Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2009). Modeling Human Table Tennis, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   See Details [Details]   BibTeX Reference [BibTex]

Kober, J. (2008). Reinforcement Learning for Motor Primitives, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Bachelor Theses

Baierl, M. (2020). Learning Action Representations For Primitives-Based Motion Generation, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Damken, F. (2020). Variational Autoencoders for Koopman Dynamical Systems, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Eiermann, A. (2020). Optimierung von Biologischen Systemen, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Kirschner, M. (2020). Integration of LIDAR SLAM for an automous vehicle, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Nukovic, L. (2020). Evaluation of the Handshake Turing Test for anthropomorphic Robots, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Scharf, F. (2020). Proximal Policy Optimization with Explicit Intrinsic Motivation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stadtmueller, J. (2020). Dimensionality Reduction of Movement Primitives in Parameter Space, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Divo, F. (2019). Trajectory Based Upper Body Gesture Recognition for an Assistive Robot, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ebeling, L. (2019). Experimental validation of an MPC-POMDP model of ball catching, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Eilers, C. (2019). Bayesian Optimization for Learning from Randomized Simulations, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hensel, M. (2019). Correlated Exploration in Deep Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kaiser, F. (2019). Towards a Robot Skill Library Using Hierarchy, Composition and Adaptation, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Keller, L. (2019). Application of state-of-the-art RL algorithms to robotics simulators, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Kinold, J. (2019). Development of a Simulation Model for an Autonomous Vehicle, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Lang, M. (2019). Imitation Learning for Highlevel Robot Behavior in the Context of Elderly Assistance, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lutz, P. (2019). Automatic Segmentation and Labeling for Robot Table Tennis Time Series, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Menzenbach, R. (2019). Benchmarking Sim-2-RealAlgorithms on Real-WorldPlatforms, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Suess, J. (2019). Robust Control for Model Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Weiland, C. (2019). Deep Model-based Reinforcement Learning: Propagating Rewards Backwards through the Model for All Time-Steps, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Borg, A. (2018). InfiniteMixture Policies in Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Khaled, N. (2018). Benchmarking Reinforcement Learning Algorithms on Tetherball Games, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kolev, Z. (2018). Joint Learning of Humans and Robots, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Rinder, S. (2018). Trajectory Kernels for Bayesian Optimization, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schneider, T. (2018). Guided Policy Search for In-Hand Manipulation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schotschneider, A. (2018). Collision Avoidance in Uncertain Environments for Autonomous Vehicles using POMDPs.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tschirner, J. (2018). Boosted Deep Q-Network, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fiebig, K.-H. (2017). Multi-Task Logistic Regression in Brain-Computer Interfaces, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Frisch, Y. (2017). The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, R. (2017). Development and Evaluation of 3D Autoencoders for Feature Extraction, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lolkes, C. (2017). Incremental Imitation Learning with Estimation of Uncertainty, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pfanschilling, V. (2017). Self-Programming Mutation and Crossover in Genetic Programming for Code Generation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Polat, H. (2017). Nonparametric deep neural networks for movement planning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Rother, D. (2017). Transferring Insights on Biological Sleep to Robot Motor Skill Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Semmler, M. (2017). Exploration in Deep Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Szelag, S. (2017). Transferring Insights on Mental Training to Robot Motor Skill Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thiem, S. (2017). Simulation of the underactuated Sake Robotics Gripper in V-REP and ROS, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zecevic, M. (2017). Matching Bundles of Axons Using Feature Graphs.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Plage, L. M. (2016). Reinforcement Learning for tactile-based finger gaiting, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Alte, D. (2016). Control of a robotic arm using a low-cost BCI, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Becker, P. (2016). Learning Deep Feature Spaces for Nonparametric Inference, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Grossberger, L. (2016). Towards a low-cost cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Klink, P (2016). Model Learning for Probabilistic Movement Primitives, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Marg, V. (2016). Reinforcement Learning for a Dexterous Manipulation Task, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nakatenus, M. (2016). Multi-Agent Reinforcement Learning Algorithms, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Palenicek, D. (2016). Reinforcement Learning for Mobile Missile Launching, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Ramstedt, S. (2016). Deep Reinforcement Learning with Continuous Actions, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schultheis, M. (2016). Learning Priors for Error-related Decoding in EEG data for Brain-Computer Interfacing, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Unverzagt, F.T. (2016). Modeling Robustness for Multi-Objective Optimization, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Alexev, S. (2015). Reinforcement Learning für eine mobile Raketenabschußplattform, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Berninger K. (2015). Hierarchical Policy Search Algorithms, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Blank, A. (2015). Learning a State Representation for a Game Agent’s Reactive Behaviour, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

End, F. (2015). Learning Versatile Solutions with Policy Search, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mayer C. (2015). Learning to Sequence Movement Primitives for Rhythmic Tasks, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schaefer, A. (2015). Prediction of Finger Flexion from ECoG Data with a Deep Neural Network, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Amend, S. (2014). Feature Extraction for Policy Search, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Brandl, S. (2014). Learning to Pour Using Warped Features, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2014). Spectral Learning of Hidden Markov Models, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hochlaender, A. (2014). Deep Learning for Reinforcement Learning in Pacman, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hoelscher, J. (2014). Tactile Exploration of Object Properties, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Huhnstock, N. (2014). Tactile Sensing for Manipulation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Laux, M. (2014). Online Feature Learning for Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2014). Latent Space Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mattmann, A. (2014). Modeling How To Catch Flying Objects: Optimality Vs. Heuristics, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2014). Artificial Curiosity for Motor Skill Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Smyk, M. (2014). Learning Generalizable Models for Compliant Robots, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thai, H.L. (2014). Laplacian Mesh Editing for Interaction Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

von Willig, J. (2014). Reinforcement Learning for Heros of Newerth, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Notz, D. (2013). Reinforcement Learning for Planning in High-Dimensional Domains, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pfretzschner, B. (2013). Autonomous Car Driving using a Low-Cost On-Board Computer, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schoengen, S. (2013). Visual feature learning for interactive segmentation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Distler, M. (2012). Koennen Lernalgorithmen interagieren aehnlich wie im Gehirn?, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hensch, P. (2012). Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Hess, S. (2012). Levitation Sphere, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Sharma, D. (2012). Combining Reinforcement Learning and Feature Extraction, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zimpfer, A. (2012). Vergleich verschiedener Lernalgorithmen auf einem USB-Missilelauncher, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Honors Theses and Advanced Design Projects

Smyk, M. (2016). Model-based Control and Planning on Real Robots, Honors Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Koert, D. (2015). Inverse Kinematics for Optimal Human-Robot Collaboration, Honors Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Buchholz, T.; Croon, T; El Khoury, M. (2014). Playing Tetherball with Compliant Robots, Advanced Design Project.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ho, D.; Kisner, V. (2014). Trajectory Tracking Controller for a 4-DoF Flexible Joint Robotic Arm, Advanced Design Project.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Seminar Theses

Alles, I (2012). Models for Biological Motor Control: Modules of Movements, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2012). Extensive Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2013). Inverse Optimal Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2012). Algorithms for Fast Gradient Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dittmar, D. (2013). Slice Sampling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2012). Locally Weighted Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fischer, A. (2012). Inverse Reinforcement Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gabriel, A. (2012). An introduction to Structural Learning - A new approach in Reinforcement Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Glaser, C. (2012). Learning in Reality: A case study of Stanley, the robot that Won the DARPA Challenge, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Goppalan, N. (2012). Gaussian Process Latent Variable Models for Dimensionality Reduction and Time Series Modeling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Graber, T. (2012). Models for Biological Motor Control: Optimality Principles, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hardock, S. (2012). Applications in Robot Helicopter Acrobatics, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Isaak, J. (2012). Interaction Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kruk, S. (2013). Planning with Multiple Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kunz, F. (2013). An Introduction to Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kutschke, M. (2012). Imitation Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2012). Machine learning and the brain, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mindt, M. (2012). Learning robot control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mogk, R. (2012). Efficient Planning under Uncertainty with Macro-actions, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mueck, J. (2012). Learning physical Models of Robots, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pignede, T. (2012). Evolution of Reinforcement Learning in Games or How to Win against Humans with Intelligent Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ploetz, T. (2012). Deterministic Approximation Methods in Bayesian Inference, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2012). Kernel Descriptors in comparison with Hierarchical Matching Pursuit, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schnell, F. (2013). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schoenberger, D. (2012). Planning in POMDPs, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2013). Planning for Relational Rules, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2012). Do Reinforcement Learning Models Explain Neural Learning?, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stein, A. (2013). Learning Robot Locomotion, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Swiezinski, L. (2013). Lifecycle of a Jeopardy Question Answered by Watson DeepQA, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thiel, T. (2012). Learning in Robot Soccer, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tschirsich, M. (2013). Learning Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Viering, M. (2012). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Will, K. (2013). Autonomous Chess-Playing, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zoellner, M. (2013). Reinforcement Learning in Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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