Alternatives and similar repositories for RLCN

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

• jidiai / ai_lib
  ☆173Updated 2 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆235Updated 4 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆67Updated 4 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 6 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆145Updated 5 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 …
  ☆82Updated last year
• wjh720 / QPLEX
  ☆100Updated 5 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆88Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆88Updated 6 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆90Updated 5 years ago
• oxwhirl / facmac
  ☆110Updated 4 years ago
• Ericonaldo / ILSwiss
  ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…
  ☆176Updated 2 years ago
• oxwhirl / comix
  ☆42Updated 4 years ago
• mansicer / MAIC
  The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆63Updated 2 years ago
• Theohhhu / UPDeT
  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…
  ☆139Updated 5 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆111Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆220Updated last year
• cyanrain7 / TRPO-in-MARL
  ☆222Updated 2 years ago
• morning9393 / HAPPO-HATRPO
  ☆45Updated 4 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆133Updated 3 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆96Updated 4 years ago
• RITCHIEHuang / MAGAIL
  Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
  ☆43Updated 3 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆208Updated last year
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆87Updated 3 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆65Updated 5 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated 2 years ago
• YangShengqi / paper
  ☆43Updated 3 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆173Updated 2 years ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆287Updated 3 years ago