Alternatives and similar repositories for meta_rl

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

• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆65Updated 3 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆30Updated 2 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆77Updated 7 months ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated last week
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 9 months ago
• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 3 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆88Updated 5 years ago
• StanfordVL / alignment
  ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
  ☆19Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆194Updated 8 months ago
• wjh720 / QPLEX
  ☆97Updated 4 years ago
• seolhokim / DistributedRL-Pytorch-Ray
  Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
  ☆27Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆105Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆134Updated last year
• ling-pan / OMAR
  ☆50Updated 3 years ago
• oxwhirl / comix
  ☆43Updated 4 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆175Updated 3 years ago
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆46Updated last year
• mansicer / MAIC
  The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆56Updated last year
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆165Updated last year
• uoe-agents / lb-foraging
  Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
  ☆48Updated 10 months ago
• MDrW / ICML2022-IRAT
  ☆39Updated 3 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆59Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆111Updated 4 years ago
• AIDefender / MyDiscor
  Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"
  ☆14Updated 4 years ago