Alternatives and similar repositories for pytorch-pommerman-rl

Users that are interested in pytorch-pommerman-rl 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 6 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆50Updated 6 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆68Updated 2 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 4 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆82Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆53Updated 7 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 4 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆75Updated 3 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆126Updated 6 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• implementation-matters / code-for-paper
  ☆112Updated 5 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 5 months ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• hiwonjoon / ICML2019-TREX
  ☆84Updated 4 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆149Updated 2 years ago
• WilsonWangTHU / NerveNet
  ☆118Updated 6 years ago