Date | Time | Event | Location |
6.10.2023 | 14:00-15:00 | Pascal Klink, Research Talk: Reinforcement Learning Curricula as Interpolations between Task Distributions | E202 |
| 15:00-15:15 | IP final presentation: Latent Tactile Representations for Model Based RL | http://talks.robot-learning.net |
| 15:15-15:30 | IP final presentation: Autonomous Basil Harvesting | |
13.10.2023 | 14:00-14:45 | Firas Al-Hafez, Research Talk: Challenges and Frontiers in Learning Natural Locomotion | http://talks.robot-learning.net |
| 14:45-15:15 | Johannes Heeg, M.Sc. Thesis Defense: Task Space Exploration in Robot Reinforcement Learning | |
18.10.2023 | 17:00-20:00 | Hamish Flynn, Ph.D. Thesis Defense: PAC-Bayes Bounds for Bandits: Algorithms and Guarantees | http://talks.robot-learning.net |
23.10.2023 | 16:00-19:00 | Andreas Look, Ph.D. Thesis Defense: Deterministic Approximations for Deep State-Space Models | http://talks.robot-learning.net |
27.10.2023 | 14:00-15:00 | Kay Hansel, Research Talk: T.B.D | http://talks.robot-learning.net |
7.11.2023 | 15:00-18:00 | Pascal Klink, Ph.D. Thesis Defense: Reinforcement Learning Curricula as Paths between Task Distributions | http://talks.robot-learning.net |
17.11.2023 | 14:00-15:00 | Tim Schneider, Research Talk: Active Haptic Exploration | http://talks.robot-learning.net |
1.12.2023 | 16:00-18:00 | Vignesh Prasad, Ph.D. Thesis Defense: Learning Human-Robot Interaction: A Case Study on Human-Robot Handshaking | http://talks.robot-learning.net |
18.12.2023 | 16:00-18:30 | Julen Urain, Ph.D. Thesis Defense: Structured Robot Motion with Generative Models - Geometry, Composability, and Learning | http://talks.robot-learning.net |