A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Specifically, we present a self-supervised method for Cross-embodiment Inverse Reinforcement Learning (XIRL) that leverages temporal cycle-consistency constraints to learn deep visual embeddings that capture ... for training policies with reinforcement learning. ... Cross-embodiment Inverse Reinforcement Learning. ...arXiv:2106.03911v3 fatcat:az5ipr6dwvavbevjzcrr2qhrby