{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TalkRL: The Reinforcement Learning Podcast","title":"Danijar Hafner 2","html":"","width":"100%","height":180,"duration":2715,"description":"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!\nDanijar 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.  \n\nFeatured References   \n\nMastering Diverse Domains through World Models [ blog ] DreaverV3 \nDanijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy Lillicrap  \n\nDayDreamer: World Models for Physical Robot Learning [ blog ] \nPhilipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel \nDeep Hierarchical Planning from Pixels [ blog ] \nDanijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel   \nAction and Perception as Divergence Minimization [ blog ] \nDanijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl Friston, Nicolas Heess \nAdditional References  \nMastering Atari with Discrete World Models [ blog ] DreaverV2 ; Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba  \nDream to Control: Learning Behaviors by Latent Imagination [ blog ] Dreamer ; Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi  \nPlanning to Explore via Self-Supervised World Models ; Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak  ","thumbnail_url":"https://img.transistorcdn.com/jXB1-VPK-A9v1epzc4aG4pFxqlvo2vbQ_Ytyuar_gPI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzIwNDcvMTcwNzk1/NDcxMS1hcnR3b3Jr/LmpwZw.webp","thumbnail_width":300,"thumbnail_height":300}