In-depth interviews with brilliant people at the forefront of RL research and practice.
With guests from leading places including MILA, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
This podcast contains technical content, and assumes knowledge of RL basics.
Hosted by Robin Ranjit Singh Chauhan.
Amy Zhang shares her work on Invariant Causal Prediction for Block MDPs, Multi-Task Reinforcement Learning with Context-based Representations, MBRL-Lib, shares insight on generalization on RL, and more!
Xianyuan Zhan on DeepThermal for controlling thermal power plants, the MORE algorithm for Model-based Offline RL, comparing AI in China and the US, and more!
© 2021 Robin Ranjit Singh Chauhan