RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Por um escritor misterioso
Last updated 05 julho 2024
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In this issue, we look at MuZero, DeepMind’s new algorithm that learns a model and achieves AlphaZero performance in Chess, Shogi, and Go and achieves state-of-the-art performance on Atari. We also look at Safety Gym, OpenAI’s new environment suite for safe RL.
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deep learning – Severely Theoretical
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Aman's AI Journal • Papers List
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Johan Gras (@gras_johan) / X
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Memory for Lean Reinforcement Learning.pdf
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All Categories - Miles Brundage
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EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)
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deep learning – Severely Theoretical
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Applied Sciences, Free Full-Text
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RL Weekly 37: Observational Overfitting, Hindsight Credit Assignment, and Procedurally Generated Environment Suite
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