Alternatives and similar repositories for Distributed-RL

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

• bigrl-team / gear
  A distributed GPU-centric experience replay system for large AI models.
  ☆18Updated 2 years ago
• lns / memoire
  ☆18Updated 6 years ago
• mjanschek / pytorch_seed_rl
  A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.
  ☆14Updated 4 years ago
• openpsi-project / srl
  A Really Scalable RL Framework to 10k+ CPUs
  ☆34Updated last year
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 4 years ago
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• CesMak / mcts_cardgame
  Reinforcement Learning (PPO) applied to a multiplayer simple card game (Witches)
  ☆10Updated 5 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆24Updated 5 years ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆48Updated last year
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 4 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 4 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• createamind / Distributed-DRL
  Distributed Deep Reinforcement Learning
  ☆29Updated 4 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆22Updated 4 years ago
• rmst / rtrl
  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
  ☆76Updated 5 years ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 2 years ago
• XinJingHao / Actor-Sharer-Learner
  Actor-Sharer-Learner training framework for off-policy DRL algorithms
  ☆21Updated 8 months ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch
  Assignments for CS294-112 Fall2018 in Pytorch
  ☆65Updated 6 years ago
• mavischer / DRRL
  A2C training of Relational Deep Reinforcement Learning Architecture
  ☆13Updated 3 years ago
• ttumiel / minRLHF
  Minimal RLHF implementation built on top of minGPT.
  ☆30Updated last year
• hr0nix / omega
  A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…
  ☆41Updated 3 years ago
• KaiYan289 / RLpapersnote
  ☆46Updated last month
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 6 months ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• chscheller / sc2_imitation_learning
  StarCraft 2 Imitation Learning
  ☆29Updated 4 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• openai / ppo-ewma
  Code for the paper "Batch size invariance for policy optimization"
  ☆52Updated 2 years ago