TalkRL Podcast is All Reinforcement Learning, All the Time.
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, Anyscale, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.
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, Anyscale, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.
Listen to the Trailer
Latest Episodes
NeurIPS 2021 Political Economy of Reinforcement Learning Systems (PERLS) Workshop
Dr. Thomas Gilbert and Dr. Mark Nitzberg on the upcoming PERLS Workshop @ NeurIPS 2021
Amy Zhang
Amy Zhang shares her work on Invariant Causal Prediction for Block MDPs, Multi-Task Reinforcement Learning with Context-based Representations, MBRL-Lib, shares insight...
Xianyuan Zhan
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!
Eugene Vinitsky
Eugene Vinitsky of UC Berkeley on social norms and sanctions, traffic simulation, mixed-autonomy traffic, and more!
Jess Whittlestone
Jess Whittlestone on societal implications of deep reinforcement Learning, AI policy, warning signs of transformative progress in AI, and more!