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.
Nathan Lambert on Model-based RL, Trajectory-based models, Quadrotor control, Hyperparameter Optimization for MBRL, RL vs PID control, and more!
Kai Arulkumaran on AlphaStar and Evolutionary Computation, Domain Randomisation, Upside-Down Reinforcement Learning, Araya, NNAISENSE, and more!
(c) 2019 Robin Ranjit Singh Chauhan