rlchina / RLCN

Related projects ⓘ

Alternatives and complementary repositories for RLCN

• jidiai / ai_lib
  ☆158Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆123Updated 3 years ago
• oxwhirl / facmac
  ☆88Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆92Updated last year
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆63Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆185Updated last year
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆111Updated last year
• wjh720 / QPLEX
  ☆88Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆145Updated 6 months ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆207Updated 2 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆53Updated 4 years ago
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆206Updated 2 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆129Updated 10 months 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 …
  ☆69Updated 11 months ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆212Updated 2 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆83Updated last year
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆71Updated 5 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆81Updated 4 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆158Updated 5 months ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆81Updated 5 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…
  ☆161Updated last year
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆38Updated 4 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆67Updated last year
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆178Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆92Updated 3 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆55Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆73Updated 9 months ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆89Updated 3 years ago
• jidiai / SummerCourse2022
  ☆89Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆51Updated 10 months ago