Date | Time | Event | Location |
14.01.2021 | 14:30-14:45 | Zhenhui Zhou, M.Sc. Intermediate Presentation: Multi Modal Policy Search using Normalizing Flow | http://tiny.cc/7askoz |
14.01.2021 | 14:00-14:30 | David Rother, M.Sc. Intermediate Presentation: Reinforcement Learning in Decentralized Multi-Goal Multi-Agent Settings | http://tiny.cc/7askoz |
7.01.2021 | 14:00-14:30 | Felix Helfenstein, B.Sc. Thesis Defense: Benchmarking Deep Reinforcement Learning Algorithms | http://tiny.cc/7askoz |
21.12.2020 | 16:30-18:00 | Samuele Tosatto, Ph.D. Thesis Defense: Reinforcement Learning for Robotics | http://tiny.cc/7askoz |
17.12.2020 | 15:00-16:00 | Matthew Gombolay (Georgia Tech), Invited Talk: Democratizing Robot Learning for Human-Robot Teaming | http://tiny.cc/7askoz |
17.12.2020 | 14:30-15:00 | Jonas Eschmann, M.Sc. Intermediate Presentation: Partially Supervised Deep Meta Reinforcement Learning for Sim2Real Transfer | http://tiny.cc/7askoz |
17.12.2020 | 14:00-14:30 | Janosch Moos, M.Sc. Intermediate Presentation: Approximate Variational Inference for Mixture Models | http://tiny.cc/7askoz |
10.12.2020 | 15:00-15:20 | Axel Patzwahl, M.Sc. Intermediate presentation: Multi-sensor Fusion for Target Motion Prediction with an Application to Robot Baseball | http://tiny.cc/7askoz |
10.12.2020 | 14:30-15:00 | Fabian Damken, B.Sc. Thesis Defense: Variational Autoenconders for Koopman Dynamical Systems | http://tiny.cc/7askoz |
10.12.2020 | 14:00-14:30 | Moritz Schramm, B.Sc. Thesis Defense: Development of an Interactive Gesture Recognition System for an Assistive Robot | http://tiny.cc/7askoz |
8.12.2020 | 15:30-18:00 | Roberto Lampariello, Ph.D. Thesis Defense: Optimal Motion Planning for Object Interception and Grasping | http://tiny.cc/7askoz |
3.12.2020 | 15:30-17:30 | Daniel Tanneberg, Ph.D. Thesis Defense: Understand-Compute-Adapt: Neural Networks for Intelligent Agents | http://tiny.cc/7askoz |
3.12.2020 | 11:30-12:30 | Mario Zanon (IMT Lucca), Invited Talk at MPI-IS-EI: Reinforcement Learning based on Model Predictive Control | https://zoom.us/j/556365602?pwd=a0hsTHZURnF5akd2OTI0ektRNno2dz09 |
26.11.2020 | 14:30-15:00 | Rustam Galljamov, M.Sc. Thesis Defense: Sample-efficient learning-based controller for bipedal walking in robotic systems | http://tiny.cc/7askoz |
26.11.2020 | 14:00-14:30 | Albert Schotschneider, M.Sc. Thesis Defense: Learning High-Level Behavior for Autonomous Vehicles | http://tiny.cc/7askoz |
20.11.2020 | 13:00-13:30 | Maximilian Stasica, M.Sc. Thesis Defense: Comparison of human motor control models and their application to robotics | https://tu-darmstadt.zoom.us/j/8169149370 |
19.11.2020 | 15:00-15:30 | Tim Dorau, M.Sc. Thesis Defense: Distributionally Robust Optimization for Optimal Control | http://tiny.cc/7askoz |
19.11.2020 | 14:00-15:00 | Zico Kolter (CMU), Invited Talk: Equilibrium approaches to deep learning: One (implicit) layer is all you need | http://tiny.cc/7askoz, |
12.11.2020 | 15:00-16:00 | Nathan Ratliff (NVIDIA), Invited Talk: Geometric fabrics: Transparent tools for behavior engineering | http://tiny.cc/7askoz |
5.11.2020 | 14:00-15:00 | Emtiyaz Khan (RIKEN AIP), Invited Talk: Bayesian Principles for Learning Machines | http://tiny.cc/7askoz |
29.10.2020 | 14:00-15:00 | Gergely Neu (UPF), Invited Talk: Logistic Q-Learning | http://tiny.cc/7askoz |
22.10.2020 | 14:00-14:15 | Moritz Schramm, B.Sc. Intermediate Presentation: Development of an Interactive Gesture Recognition System for an Assistive Robot | http://tiny.cc/7askoz |
20.10.2020 | 11:00-12:00 | Martin Pecka, Research Talk: Safe Autonomous Reinforcement Learning | https://tu-darmstadt.zoom.us/j/89741914997 |
15.10.2020 | 14:15-14:30 | Mark Baierl, B.Sc. Thesis Defense: Learning action representations for primitives-based Humanoid control | http://tiny.cc/7askoz |
15.10.2020 | 14:00-14:15 | Erik Samstag, B.Sc. Thesis Defense: Bayesian Optimization for Biochemical Dose Response Measurements | http://tiny.cc/7askoz |
1.10.2020 | 14:30-15:00 | Patrick Krabbe, M.Sc. Thesis Defense: Learning Riemannian Movement Primitives for Manipulation | http://tiny.cc/7askoz |
1.10.2020 | 14:00-14:30 | Okan Koc (Amazon), Invited Talk: Safe Learning Control: What is out there and what is not? | http://tiny.cc/7askoz |
23.09.2020 | 10:00-11:00 | Oleg Arenz, Ph.D. Thesis Defense: Sample-Efficient I-Projections for Robot Learning | http://tiny.cc/7askoz |
22.09.2020 | 11:30-12:00 | Jia-Jie Zhu, Research Talk: Robust Learning Meets Robust Optimization -- Introduction to Distributionally Robust Optimization | Link on request |
17.09.2020 | 16:30-17:00 | Thomas Lautenschläger, M.Sc. Thesis Defense: Variational Inference For Switching Dynamics | http://tiny.cc/7askoz |
17.09.2020 | 16:00-16:30 | Alexander Klein, M.Sc. Thesis Defense: Learning Robot Grasping of Industrial Work Pieces using Dense Object Descriptors | http://tiny.cc/7askoz |
17.09.2020 | 15:00-16:00 | Marc Toussaint (TU Berlin), Invited Talk: Learning to do as planned | http://tiny.cc/7askoz |
10.09.2020 | 15:00-15:30 | Markus Semmler, M.Sc. Thesis Defense: Sequential Bayesian Optimal Experimental Design | http://tiny.cc/7askoz |
10.09.2020 | 14:00-15:00 | Michael Gienger (Honda Research Institute), Invited Talk: Dexterous Cooperation | http://tiny.cc/7askoz |
3.09.2020 | 14:45-15:30 | Oleg Arenz, Research Talk: Sample-Efficient I-Projections for Robot Learning | http://tiny.cc/7askoz |
3.09.2020 | 14:00-14:45 | Simon Guist, Research Talk: Hindsight State Manipulation | http://tiny.cc/7askoz |
27.08.2020 | 14:00-14:45 | Guilherme Maeda (Preferred Networks), Invited Talk: Phase portraits as movement primitives for fast humanoid robot control | http://tiny.cc/7askoz |
20.08.2020 | 15:00-16:00 | Stephen Tu (Google Brain), Invited Talk: Learning Stability Certificates from Data | http://tiny.cc/7askoz |
20.08.2020 | 14:30-14:45 | Jan Rathjens, M.Sc. Intermediate Presentation: Accelerated Policy Search | http://tiny.cc/7askoz |
13.08.2020 | 17:30-18:15 | Abdeslam Boularias (Rutgers U), Invited Talk: Model Identification for Robotic Manipulation | http://tiny.cc/7askoz |
13.08.2020 | 14:45-15:00 | Fabian Damken, B.Sc. Intermediate Presentation: Variational Autoenconders for Koopman Dynamical Systems | http://tiny.cc/7askoz |
13.08.2020 | 14:30-14:45 | Mark Baierl, B.Sc. Intermediate Presentation: Learning action representations for primitives-based Humanoid control | http://tiny.cc/7askoz |
13.08.2020 | 14:00-14:30 | Janosch Moos, Kay Hansel, Honor Thesis Defense: Survey on Robust Reinforcement Learning | http://tiny.cc/7askoz |
6.08.2020 | 14:45-15:30 | Tuan Dam, Research Talk: Convex Regularization in Monte-Carlo Tree Search | http://tiny.cc/7askoz |
6.08.2020 | 14:00-14:45 | Andras Kupcsik (BCAI), Invited Talk: Fast Learning and Sequencing of Object-centric Robot Manipulation Skills | http://tiny.cc/7askoz |
30.07.2020 | 14:45-15:15 | Rustam Galljamov, M.Sc. Intermediate Presentation: Sample-efficient learning-based controller for bipedal walking in robotic systems | http://tiny.cc/7askoz |
30.07.2020 | 14:00-14:45 | Takayuki Osa (Kyushu U), Invited Talk: Motion Planning by Learning Latent Representations | http://tiny.cc/7askoz |
28.07.2020 | 11:00-12:00 | Max Welling (Uni Amsterdam), Invited Talk: Graph Nets and Equivariance: The Next Generation | http://tiny.cc/7askoz |
23.07.2020 | 14:00-14:30 | Eike Mentzendorff, M.Sc. Thesis Defense: Multi-Objective Deep Reinforcement Learning through Manifold Optimization | http://tiny.cc/7askoz |
16.07.2020 | 14:00-14:30 | Johannes Silberbauer, M.Sc. Thesis Defense: A Differentiable Newton Euler Algorithm for Multi-body Model Learning | http://tiny.cc/7askoz |
15.07.2020 | 14:00-16:00 | IP Intermediate Presentation's Zoom Meeting | https://tu-darmstadt.zoom.us/j/97850134157?pwd=a1RFOUNBbzd3V0xrZ2I 0alFVaGIwQT09 |
9.07.2020 | 14:00-14:45 | Jens Kober (TU Delft), Invited Talk: Robots Learning [Through] Interactions | http://tiny.cc/7askoz |
2.07.2020 | 14:00-14:30 | Claas Voelcker, Honor Thesis Defense: Sequential Monte Carlo Input Inference for Control | http://tiny.cc/7askoz |
25.06.2020 | 14:45-15:15 | Vini Marconie Tengang, M.Sc. Thesis Defense: 3D Pose Estimation for Robot Mikado | http://tiny.cc/7askoz |
25.06.2020 | 14:00-14:45 | Philip Becker-Ehmck, Research Talk: Deep Onboard Quadcopter Control via Model-Based Reinforcement Learning | http://tiny.cc/7askoz |
18.06.2020 | 17:45-18:30 | Simon Guist, Research Talk: Hindsight State Manipulation | http://tiny.cc/7askoz |
18.06.2020 | 17:00-17:45 | Roberto Calandra (Facebook), Invited Talk: Rethinking Model-based Reinforcement Learning | http://tiny.cc/7askoz |
18.06.2020 | 16:00-17:00 | Yijiang Huang (MIT), Invited Talk: Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion | http://tiny.cc/7askoz |
11.06.2020 | 15:30-16:00 | Qin Li, Research Talk: Human Motion Prediction Based on Graph Convolutional Network | http://tiny.cc/7askoz |
11.06.2020 | 15:00-15:30 | Stephane Tekam, M.Sc. Thesis defense: Policy Optimization via Gaussian Mixture Model | http://tiny.cc/7askoz |
11.06.2020 | 14:00-15:00 | Herke van Hoof (UVA), Invited Talk: Learning heuristics for combinatorial optimization | http://tiny.cc/7askoz |
4.06.2020 | 14:00-14:30 | Yang Weng (U. Tokyo), Invited Talk: Reinforcement Learning Based Underwater Wireless Optical Communication Alignment for Multiple Autonomous Underwater Vehicles | http://tiny.cc/7askoz |
28.05.2020 | 14:00-14:45 | Christoph Zimmer (BCAI), Invited Talk: Safe active learning for time series modeling with gaussian processes | http://tiny.cc/7askoz |