Alternatives and similar repositories for -:

Users that are interested in - are comparing it to the libraries listed below

• peterjiawhite / Superhuman_AI_in_multiplayer_poker_-
  该论文主要介绍了美国卡内基梅隆大学团队，在多人德州扑克上的人工智能新思路，即不再简单寻找纳什均衡，而引入悔恨值的概念，自我博弈，并采用蒙特卡洛CFR方法，构建蓝图，该方法通用性强，该团队声称他们的德州扑克蓝图只在两枚CPU运算8天即可得出蓝图，即可以实现实时博弈。现已经有国…
  ☆25Updated 5 years ago
• AlexKashi / AlphaHoldem
  A Deep Reinforcment Learning Aproach to Texas Holdem
  ☆32Updated 2 years ago
• lsyndxiaoyuer / StarCraft2-RL
  lecture32_AI挑战星际争霸II（强化学习）
  ☆17Updated 2 years ago
• bupticybee / AlphaNLHoldem
  An unoffical implementation of AlphaHoldem. 1v1 nl-holdem AI.
  ☆83Updated last year
• charleschen003 / doudizhu-rl
  强化学习训练斗地主 / doudizhu AI using reinforcement learning.
  ☆15Updated 5 years ago
• Vincentzyx / Douzero_Resnet
  Douzero with ResNet and GPU support for Windows
  ☆39Updated 3 years ago
• Liuweiming / ACH_poker
  ☆20Updated 2 years ago
• PhDChe / Poker-1
  Various explorations into the game of Poker using MCTS, NFSP, and image-recognition/web-scraping
  ☆12Updated 4 years ago
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆195Updated 2 years ago
• zhaoyingjun / general
  Alignment成为GPT类大模型微调的必须环节，深度强化学习是Alignment的核心。本项目是一个支持非gym环境训练、支持可视化配置的深度强化学习应用编程框架，30分钟上手强化学习编程。
  ☆72Updated 2 years ago
• submit-paper / Doudizhu_plus
  ☆40Updated 2 years ago
• rpSebastian / AutoCFR
  Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)
  ☆16Updated 11 months ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆153Updated last year
• yangchen1997 / Multi-Agent-Reinforcement-Learning
  PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Gr…
  ☆216Updated last year
• fangdejia / HwTexasPoker
  华为精英挑战赛德州扑克客户端AI代码
  ☆26Updated 8 years ago
• Quantum-Cheese / DeepReinforcementLearning_Pytorch
  Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
  ☆57Updated 3 years ago
• glong1997 / MultiAgentLearning
  多智能体学习库
  ☆18Updated 3 years ago
• jidiai / ai_lib
  ☆162Updated last year
• thesouther / myNotes
  notes
  ☆27Updated 2 years ago
• Starlight0798 / gymRL
  基于gym的pytorch深度强化学习(DRL)(PPO,PPG,DQN,SAC,DDPG,TD3等算法)
  ☆91Updated this week
• Netease-Games-AI-Lab-Guangzhou / PerfectDou
  [NeurIPS 2022] PerfectDou: Dominating DouDizhu with Perfect Information Distillation
  ☆173Updated 10 months ago
• jidiai / Competition_Olympics-Running
  ☆16Updated 3 years ago
• int8 / counterfactual-regret-minimization
  Counterfactual regret minimization algorithm for Kuhn poker
  ☆170Updated 6 years ago
• morningsky / NTU-ReinforcementLearning-Notes
  国立台湾大学李宏毅老师讲解的深度强化学习学习笔记
  ☆140Updated 5 years ago
• zouchangjie / RL-Nash-Q-learning
  强化学习中纳什Qlearning 实现矩阵博弈
  ☆30Updated 6 years ago
• ChengTsang / Potential-Aware-Abstraction-In-Texas-Hold-em-Poker
  This code is based on the implementation of http://www.cs.cmu.edu/afs/cs/Web/People/sandholm/potential-aware_imperfect-recall.aaai14.pdf,…
  ☆34Updated 6 years ago
• doas3140 / PyStack
  Python implementation of Deepstack
  ☆82Updated 5 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆142Updated 4 years ago
• manaski / MARL
  多智能体强化学习
  ☆90Updated 6 years ago
• YangRui2015 / 2048_env
  2048 environment for Reinforcement Learning and DQN algorithm
  ☆40Updated 2 years ago