I have uploaded a new video showing how to use redundancy resolution in different policy search methods – including reinforcement learning and evolutions strategies – to embed secondary objectives without any reward shaping. This approach is evaluated in simulation and on the real robot. It focuses on the task of robotic manipulation.
Here it is:
You can also find this project in the highlight section on my main page. Stay tuned as there is coming a more detailed blog in the near future!
I am excited to announce that I will be co-organizing the Next-Gen Robot Learning Symposium at the Technical University of Darmstadt on 4th November 2024!
Our paper, Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion, was accepted at the International Conference on Humanoid Robots. In this work, we
Our Paper, Time-Efficient Reinforcement Learning with Stochastic Stateful Policies, was accepted at the International Conference on Learning Representations (ICLR) 2024! We introduce a novel training