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Game of Poker
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/datamllab/rlcard
공식 코드https://github.com/kwai/DouZero
공식 코드DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
https://github.com/Branbados/rlcard
https://github.com/EricSteinberger/DREAM
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/IAARhub/TrucoAnalytics
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/TinkeringCode/Neural-Fictitous-Self-Play
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/XiangboGaoBarry/TexasHoldemAI
https://github.com/Yuta123456/poker-ai
https://github.com/cogitoergoread/rlcard3
https://github.com/datamllab/rlcard-tutorial
https://github.com/deepmind/open_spiel
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/heidekrueger/bnelearn
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/jsanderink/tue
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
https://github.com/lifrordi/DeepStack-Leduc
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
https://github.com/mjiang9/_rlcard
https://github.com/mjiang9/rlcard-copy
https://github.com/q275212/rlcard
https://github.com/quantumiracle/mars
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.