Papers with Code 아카이브
Game of Chess
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Chess is a two-player strategy board game played on a chessboard, a checkered gameboard with 64 squares arranged in an 8×8 grid. The idea of making a machine that could beat a Grandmaster human player was a fascination in the artificial community for decades. Famously IBM's DeepBlue beat Kasparov in the 1990s. More recently more human-like approaches such as AlphaZero have appeared.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shtoshni/learning-chess-blindfolded
공식 코드https://github.com/shtoshni92/learning-chess-blindfolded
공식 코드https://github.com/AIRLegend/ChessRL
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/BertilBraun/ChessBot
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/ComarPers922/AI-based-3D-Game-Simulator
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/DHDev0/Muzero
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/John-Yu/leelaApplication
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/JuanCCS/muzero-jc
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/MerceaOtniel/HybridAlpha
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/Miatto-research-group/muzero
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/MingzhenY/Projects
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/Neo-The1/ThinkingTicTacToe
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/Nkluge-correa/teeny-tiny_castle
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/QueensGambit/CrazyAra
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/QueensGambit/CrazyAra-Engine
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/SHRIVP/muzero
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/Sidus-smg/ataxx-ai
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/YuriCat/MuZeroJupyterExample
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/Zeta36/chess-alpha-zero
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/Zeta36/muzero
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/ZiyuanMa/reversi
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/aduerig/burrus
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/alreadydone/Leela_Phoenix
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amaar-quadri/PerfectInformationGame
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amaarquadri/PerfectInformationGame
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amjshl/compute_efficient_alphazero
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cjohnchen/changebale
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cjohnchen/mirror
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cjohnchen/sai
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/colindbrown/columbia-deep-learning-project
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cosmobobak/ttt-ml
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/dangeng/DeepChess
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
https://github.com/dmiracle/muzero-starter
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
https://github.com/fantianwen/laalaz13E
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/fantianwen/leela13_training
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.