Scott Fujimoto

Scott Fujimoto expounds on his TD3 and BCQ algorithms, DDPG, Benchmarking Batch RL, and more!
Scott Fujimoto is a PhD student at McGill University and Mila. He is the author of TD3 as well as some of the recent developments in batch deep reinforcement learning.  

Featured References 

Addressing Function Approximation Error in Actor-Critic Methods 
Scott Fujimoto, Herke van Hoof, David Meger 

Off-Policy Deep Reinforcement Learning without Exploration 
Scott Fujimoto, David Meger, Doina Precup 

Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau 

Additional References 

Creators and Guests

Robin Ranjit Singh Chauhan
Robin Ranjit Singh Chauhan
๐ŸŒฑ Head of Eng @AgFunder ๐Ÿง  AI:Reinforcement Learning/ML/DL/NLP๐ŸŽ™๏ธHost @TalkRLPodcast ๐Ÿ’ณ ex-@Microsoft ecomm PgmMgr ๐Ÿค– @UWaterloo CompEng ๐Ÿ‡จ๐Ÿ‡ฆ ๐Ÿ‡ฎ๐Ÿ‡ณ
Scott Fujimoto
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