TalkRL: Reinforcement Learning Interviews

Danijar Hafner on the DreamerV3 agent and world models, the Director agent and heirarchical RL,  realtime RL on robots with DayDreamer, and his framework for unsupervised agent design! Danijar Hafner is a PhD candidate at the University of Toronto with Jimmy Ba, a visiting student at UC Berkeley with Pieter Abbeel, and an intern at DeepMind.  He has been our guest before back on episode 11.  Featured References   Mastering Diverse Domains through World Models [ blog ] DreaverV3 Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy Lillicrap  DayDreamer: World Models for Physical Robot Learning [ blog ]  Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel  Deep Hierarchical Planning from Pixels [ blog ]  Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel   Action and Perception as Divergence Minimization [ blog ]  Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl Friston, Nicolas Heess  Additional References   Mastering Atari with Discrete World Models [ blog ] Dreav