Alternatives and similar repositories for pommerman:

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

• BorealisAI / pommerman-baseline
  Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
  ☆37Updated 5 years ago
• MadryLab / implementation-matters
  ☆123Updated 6 months ago
• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• orrivlin / MountainCar_DQN_RND
  Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
  ☆40Updated 6 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆90Updated 5 months ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 5 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• dbcbtc / RL-Papers
  papers about reinforcement learning
  ☆13Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆25Updated 5 years ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆154Updated 2 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆52Updated 2 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• mavischer / DRRL
  A2C training of Relational Deep Reinforcement Learning Architecture
  ☆13Updated 2 years ago
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 4 years ago
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆85Updated 4 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• hiwonjoon / ICML2019-TREX
  ☆81Updated 3 years ago
• jiangsy / slbo_pytorch
  ☆15Updated 4 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆158Updated 3 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆100Updated 4 years ago
• Coac / never-give-up
  PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies
  ☆56Updated 4 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆56Updated 2 years ago
• wendelinboehmer / dcg
  ☆73Updated 8 months ago
• carloderamo / shared
  ☆29Updated 3 years ago
• thanard / me-trpo
  ☆91Updated last year
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 6 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆54Updated 2 years ago