https://github.com/DSobscure/cgi_drl_platform
공식 코드Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
Papers with Code 아카이브
Game of Go
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent. The task is to train an agent to play the game and be superior to other players.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/WolfLo/optimist
공식 코드Conservative Optimistic Policy Optimization via Multiple Importance Sampling
https://github.com/cooper-org/cooper
공식 코드https://github.com/demosthen/activerl
공식 코드https://github.com/egri-nagy/lambdago
공식 코드Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection
https://github.com/facebookresearch/darkforestGo
공식 코드Better Computer Go Player with Neural Network and Long-term Prediction
https://github.com/kaesve/muzero
공식 코드https://github.com/lan-lc/adversarial_example_of_Go
공식 코드Are AlphaZero-like Agents Robust to Adversarial Perturbations?
https://github.com/lightvector/KataGo
공식 코드https://github.com/marko-vasic/moet
공식 코드MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement Learning
https://github.com/mit-futuretech/thecomputationallimitsofdeeplearning
공식 코드https://github.com/mwpainter/thts-plus-plus
공식 코드https://github.com/pytorch/ELF
공식 코드ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
https://github.com/030helios/Kata2Surakarta
https://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/CI-labo-OPU/FML_Competition2020
Better Computer Go Player with Neural Network and Long-term Prediction
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/MarkTakken/KataGoToroidal
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.