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.
Thomas Krendl Gilbert on the Political Economy of Reinforcement Learning Systems & Autonomous Vehicles, Sociotechnical Commitments, AI Development for the Public Interest, and more!
Marc G. Bellemare shares insight on his work including Deep Q-Networks, Distributional RL, Project Loon and RL in the Stratosphere, the origins of the Arcade Learning Environment, the future of Benchmarking in RL -- and more!
(c) 2019 Robin Ranjit Singh Chauhan