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Board Games

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/facebookresearch/zerosumeval

ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition

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

https://github.com/foersterrobert/AlphaZero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/foersterrobert/MuZero

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

https://github.com/gcp/leela-zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/glinscott/leela-chess

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/goodls-cs/leela-zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/gtagency/beta-zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/helpstonex/crazyara

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/intenseG/BSK

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/jasonrobwebster/alphazero-clone

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/jeapostrophe/monaco

A0C: Alpha Zero in Continuous Action Space

https://github.com/jmgilmer/GoCNN

Teaching Deep Convolutional Neural Networks to Play Go

https://github.com/johan-gras/MuZero

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

https://github.com/jonah-chen/alphazero-guerzhoy

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/jonahs99/baby-zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/jonathan-laurent/AlphaZero.jl

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/k-lombard/CS4641_Project

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/k-lombard/Deep-Learning-Chess-AI

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/koulanurag/muzero-pytorch

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

https://github.com/l1t1/lz19

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/langorou/vamperouge

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/leela-zero/leela-zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/leelachesszero/lczero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/linear95/spag

Adversarial Language Games for Advanced Natural Language Intelligence

https://github.com/mengyangbai/CchessGo

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/michaelnny/alpha_zero

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/mjiang9/_rlcard

RLCard: A Toolkit for Reinforcement Learning in Card Games

https://github.com/mjiang9/rlcard-copy

RLCard: A Toolkit for Reinforcement Learning in Card Games

https://github.com/mrklees/deepconv-chess

Giraffe: Using Deep Reinforcement Learning to Play Chess

https://github.com/nikaashpuri/sarfa-saliency

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution

https://github.com/odokumaci/rainbow-unity-obstacle-tower-challenge

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

https://github.com/pan1997/mcgs-rust

Monte-Carlo Graph Search for AlphaZero

https://github.com/pathway/alphaxos

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/pikaju/pikaju

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.