lyh-ADT / Shoots

Related projects ⓘ

Alternatives and complementary repositories for Shoots

• submit-paper / Doudizhu_plus
  ☆38Updated 2 years ago
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆46Updated 2 months ago
• PhDChe / Poker-1
  Various explorations into the game of Poker using MCTS, NFSP, and image-recognition/web-scraping
  ☆12Updated 4 years ago
• indylab / nxdo
  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
  ☆36Updated 3 years ago
• int8 / regret-matching
  Simple implementation of regret matching algorithm for RPS nash equilibrium computation via self-play
  ☆24Updated 6 years ago
• Liuweiming / ACH_poker
  ☆21Updated 2 years ago
• diversepsro / diverse_psro
  ☆18Updated 3 years ago
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆27Updated 3 years ago
• Shanghai-Digital-Brain-Laboratory / DB-Football
  A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
  ☆95Updated 10 months ago
• rpSebastian / AutoCFR
  Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)
  ☆16Updated 7 months ago
• garrett4wade / revisiting_marl
  Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
  ☆21Updated 2 years ago
• younggyoseo / pytorch-nfsp
  Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
  ☆45Updated 5 years ago
• shariqiqbal2810 / multiagent-particle-envs
  ☆46Updated 4 years ago
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆19Updated 2 years ago
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆34Updated 6 months ago
• jidiai / ai_lib
  ☆158Updated last year
• seolhokim / DistributedRL-Pytorch-Ray
  Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
  ☆26Updated 2 years ago
• aicenter / openspiel_reproductions
  Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works
  ☆16Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆93Updated last year
• wisnunugroho21 / reinforcement_learning_ppo_rnd
  Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…
  ☆50Updated 3 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated last year
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆64Updated 3 years ago
• zzq-bot / offline-marl-framework-offpymarl
  Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.
  ☆22Updated last month
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆57Updated 2 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆71Updated 2 years ago
• ShibiHe / Poker-Fictitious-Play
  Fictitious Self-play & Reinforcement Learning
  ☆19Updated 6 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆129Updated 10 months ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆45Updated 8 months ago
• XuehaiPan / mate
  MATE: the Multi-Agent Tracking Environment.
  ☆33Updated last year
• jidiai / Competition_Football
  ☆12Updated 2 years ago