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Reinforcement Learning 10: Extended methods

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Feb 22, 2021
52:59

Slides: https://cwkx.github.io/data/teaching/dl-and-rl/rl-lecture10.pdf Atari: https://www.youtube.com/playlist?list=PL34t13IwtOXUNliyyJtoamekLAbqhB9Il Twitter: https://twitter.com/cwkx Playlist: https://www.youtube.com/playlist?list=PLMsTLcO6ettgmyLVrcPvFLYi2Rs-R4JOE Distributed and recurrent RL - DQN characteristics - recurrent replay in distributed RL - R2D2 performance Exploration vs exploitation - approaches Intrinsic rewards - NGU: intrinsic motivation and curiosity Latent recurrent imagination - Dreamer and DreamerV2 AlphaStar and looking forward - starting supervised - self-play and league-play #reinforcementlearning #selfplay #leagueplay #recurrentreplay #recurrentRL #atari #DQN #exploration #exploitation #r2d2 #ngu #alphastar #dreamer #openai

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