New Blog on Domain Randomization for Position/Pose Estimation

I have published a new blog showing my latest effort of training a position/pose estimator based purely on simulated data. Therefore, I have extended an approach considered as domain randomization. You can find the blog here. Check it out and leave a comment!

Latest News

Paper accepted at ICLR!

January 16, 2024

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

LocoMuJoCo accepted at ROL@NeurIPS

November 3, 2023

Introducing the first imitation learning benchmark tailored towards locomotion. This benchmark comes with many different environments and motion capture dataset facilitating research in locomotion. We

LS-IQ accepted at EWRL

September 1, 2023

Happy to announce that our work on Least Squares Inverse Q-Learning got accepted to the European Workshop on Reinforcement Learning.