Simulation is a cheap and abundant source of data, which allows training deep neural networks on huge tailor-made datasets. Especially the ease of data labeling
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