Figure 1 from Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Por um escritor misterioso
Descrição
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"
Chess & Shogi with General Reinforcement Learning Algorithm – Coding Ninjas Blog
AlphaZero: The AI from Google which mastered Chess in 4 hours, by University of Toronto Machine Intelligence Team
PDF) A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Figure 2 from Giraffe: Using Deep Reinforcement Learning to Play Chess
Full article: Time management in a chess game through machine learning
MuZero figures out chess, rules and all
PDF] The Chess Transformer: Mastering Play using Generative Language Models
Shogi - Wikipedia
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
PDF] Playing Chess with Limited Look Ahead
de
por adulto (o preço varia de acordo com o tamanho do grupo)