Figure 1 from Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Por um escritor misterioso
Last updated 05 fevereiro 2025
Figure 1: Training AlphaZero for 700,000 steps. Elo ratings were computed from evaluation games between different players when given one second per move. a Performance of AlphaZero in chess, compared to 2016 TCEC world-champion program Stockfish. b Performance of AlphaZero in shogi, compared to 2017 CSA world-champion program Elmo. c Performance of AlphaZero in Go, compared to AlphaGo Lee and AlphaGo Zero (20 block / 3 day) (29). - "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm"
AlphaZero: The AI from Google which mastered Chess in 4 hours, by University of Toronto Machine Intelligence Team
PDF] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Resource Management for Internet of Things Environments
Reinforcement Learning, Fast and Slow: Trends in Cognitive Sciences
Reinforcement Learning: A Quick Overview, by Mohit Pilkhan
Reinforcement learning is all you need, for next generation language models.
Figure 1 from Giraffe: Using Deep Reinforcement Learning to Play Chess
Mastering Atari, Go, chess and shogi by planning with a learned model
PDF] Playing Chess with Limited Look Ahead
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