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. Theme in Bearbeitung

StudentAdvisorTypeTopic
Christian WeilandJan PetersB.Sc.Deep Reinforcement Learning: Propagating Rewards Backwards through the Model for All Time Steps
Jonas SperlingRiad AkrourM.Sc.Intrinsically Motivated Tactile In-Hand Manipulation
Kim BerningerRudolf LioutikovM.Sc.Learning Variational Autoencoders for Movement Grammars
Dominik DienlinGerhard NeumannM.Sc.Generative Adverserial Models for Deep Driving
Melvin LauxOleg Arenz, Joni PajarinenM.Sc.Deep Adversarial Learning of Object Disentangling
Alymbek SadybakasovBoris BelousovM.Sc.Learning tactile skills for architectural assembly
David NassBoris BelousovM.Sc.Risk-aware skill learning for robot badminton
Onur CelikHany AbdulsamadM.Sc.Chance-Guarantees for Model-Based Reinforcement Learning
Pascal KlinkBoris Belousov, Hany AbdulsamadM.Sc.Generalization and Transferability of Learned Policies
Felix KaiserDorothea Koert, Riad AkrourB.Sc.Towards a Robot Skill Library Using Hierarchy, Composition and Adaptation
Susanne TrickDorothea KoertM.Sc.Multimodal Uncertainty Reduction for Intention Recognition in a Human-Robot Environment
Hussam SaoudSamuele TosattoM.Sc.Exploration in Model-Based Deterministic Policy Gradient
Lennart EbelingBoris BelousovB.Sc.Experimental validation of an MPC-POMDP model of ball catching
Anton ZieseJan Peters, Mario Fiore at KUKAM.Sc.Fast Multi-Objective Redundancy Resolution for Highly-Redundant Mobile Robots
Frederik BousJan PetersM.Sc.Generating Spectral Envelopes for Singing Synthesis with Neural Networks
Nils HügelmannJan PetersM.Sc.The applications of probabilistic movement primitives to generate adaptable and re-usable robot movements in the context of the Moley Robotic Kitchen
Zinan LiuSvenja StarkM.Sc.Learning Inverse Kinematics of a 10 DOF Musculoskeletal Arm
Alexy GeorgosJoni PajarinenM.Sc.Robotics under Partial Observability
João CarvalhoSamuele TosattoM.Sc.Goal Directed Reinforcement Learning
Alexander WölkerDaniel TannebergM.Sc.Local Pixel Manipulation Detection with Deep Neural Networks
Kai PloegerDorothea_Koert, Michael_LutterM.Sc.From Imitation Learning to Juggling
Stefan HübeckerSimone Parisi, Joni PajarinenM.Sc.Curiosity Driven Reinforcement Learning for Autonomous Driving
David HoffmannDorothea KoertM.Sc.Pedestrian Detection, Tracking and Intention Prediction in the context of autonomous Driving
Josef KinoldDorothea KoertB.Sc.Development of a Simulation Model for an Autonomous Vehicle

Ongoing IP Projects

TopicStudentsAdviser
Risk-Aware Reinforcement LearningMaximillian Kircher, Angelo Campomaggiore, Simon Kohaut, Dario PerroneSamuele Tosatto, Dorothea Koert
Underactuated Trajectory-tracking Control for Long-exposure Photography VideoJonas Eschmann, Robin Menzenbach, Christian EilersBoris Belousov, Fabio Muratore

Completed

The Theses lists include only TU Darmstadt Theses and the Theses of IAS members from before the move to TU Darmstadt are listed.

Completed PhD Theses

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]   BibTeX Reference [BibTex]

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

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

van Hoof, H. (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

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

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

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]

Completed IP Projects

TopicStudentsAdviser
Learning Symbolic Representations for Abstract High-Level PlanningZhiyuan Hu, Claudia Lölkes, Haoyi YangSvenja Stark Daniel Tanneberg
Learning Perceptual ProMPs for Catching BallsAxel PatzwahlDorothea Koert, Michael Lutter
Bayesian Inference for Switching Linear Dynamical SystemsMarkus Semmler, Stefan FabianHany Abdulsamad
Characterization of WAM DynamicsKai PloegerDorothea Koert, Michael Lutter
Deep Reinforcement Learning for playing Starcraft IIDaniel Palenicek, Marcel Hussing, Simon MeisterFilipe Veiga
Enhancing Exploration in High-Dimensional EnvironmentsLu Wan, Shuo ZhangSimone Parisi
Building a Grasping TestbedDevron WilliamsOleg Arenz
Online Dynamic Model LearningPascal KlinkHany Abdulsamad, Alexandros Paraschos
Spatio-spectral Transfer Learning for Motor Performance EstimationKarl-Heinz FiebigDaniel Tanneberg
From Robots to CobotsMichael Burkhardt, Moritz Knaust, Susanne TrickDorothea Koert, Marco Ewerton
Learning Hand-KinematicsSumanth Venugopal, Deepak Singh MohanGregor Gebhardt
Goal-directed reward generationAlymbek SadybakasovBoris Belousov
Learning Grammars for Sequencing Movement PrimitivesKim Berninger, Sebastian SzelagRudolf Lioutikov
Learning Deep Feature Spaces for Nonparametric InferencePhilipp BeckerGregor Gebhardt
Lazy skill learning for cleaning up a tableLejla Nukovic, Moritz FuchsSvenja Stark
Reinforcement Learning for Gait Learning in QuadrupedsKai Ploeger, Zinan LiuSvenja Stark
Learning Deep Feature Spaces for Nonparametric InferencePhilipp BeckerGregor Gebhardt
Optimal Control for Biped LocomotionMartin Seiler, Max KreischerHany Abdulsamad
Semi-Autonomous Tele-OperationNick Heppert, Marius, Jeremy TschirnerOleg Arenz
Teaching People how to Write Japanese CharactersDavid Rother, Jakob Weimar, Lars LotterMarco Ewerton
Local Bayesian OptimizationDmitry SorokinRiad Akrour
Bayesian Deep Reinforcement Learning -Tools and Methods-Simon RamstedtSimone Parisi
Controlled Slip for Object ReleaseSteffen Kuchelmeister, Albert Schotschneider Filipe Veiga
Learn intuitive physics from videosYunlong Song, Rong ZhiBoris Belousov
Learn an Assembling Task with Swarm RobotsKevin Daun, Marius SchnaubeltGregor Gebhardt
Learning To Sequence Movement PrimitivesChristoph MayerChristian Daniel
Learning versatile solutions for Table TennisFelix EndGerhard Neumann Riad Akrour
Learning to Control Kilo-Bots with a FlashlightAlexander Hendrich, Daniel KauthGregor Gebhardt
Playing Badminton with RobotsJ. Tang, T. Staschewski, H. GouBoris Belousov
Juggling with RobotsElvir Sabic, Alexander WölkerDorothea Koert
Learning and control for the bipedal walker FaBiManuel Bied, Felix Treede, Felix PelsRoberto Calandra
Finding visual kernelsFide Marten, Dominik DienlinHerke van Hoof
Feature Selection for Tetherball Robot GamesXuelei Li, Jan Christoph KlieSimone Parisi
Inverse Reinforcement Learning of Flocking BehaviourMaximilian Maag, Robert PinslerOleg Arenz
Control and Learning for a Bipedal RobotFelix Treede, Phillip Konow, Manuel BiedRoberto Calandra
Perceptual coupling with ProMPsJohannes Geisler, Emmanuel StapfAlexandros Paraschos
Learning to balance with the iCubMoritz Nakatenus, Jan GeukesRoberto Calandra
Generalizing Models for a Compliant RobotMike SmykHerke van Hoof
Learning Minigolf with the BioRobFlorian BrandhermMarco Ewerton
iCub TelecontrolLars Fritsche, Felix UnverzagtRoberto Calandra
REPS for maneuvering in RobocupJannick Abbenseth, Nicolai OmmerChristian Daniel
Learning Ball on a Beam on the KUKA lightweight armsBianca Loew, Daniel WilbertsChristian Daniel
Sequencing of DMPs for Task- and Motion PlanningMarkus Sigg, Fabian FallerRudolf Lioutikov
Tactile Exploration and MappingThomas Arnreich, Janine HoelscherTucker Hermans
Multiobjective Reinforcement Learning on Tetherball BioRobAlexander Blank, Tobias ViernickelSimone Parisi
Semi-supervised Active Grasp LearningSimon Leischnig, Stefan LüttgenOliver Kroemer

  

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