Alternatives and similar repositories for maddpg-mpe

Users that are interested in maddpg-mpe are comparing it to the libraries listed below

• shariqiqbal2810 / multiagent-particle-envs
  ☆49Updated 5 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 3 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆106Updated 5 years ago
• oxwhirl / facmac
  ☆106Updated 4 years ago
• livey / scalable_maddpg
  scalable multi agents reinforcement learning
  ☆63Updated 7 years ago
• sumitsk / marl_transfer
  Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
  ☆116Updated 3 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆87Updated 6 years ago
• dadadidodi / m3ddpg
  ☆54Updated 6 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆144Updated 5 years ago
• tania2333 / DQN_MADDPG_practice
  RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC
  ☆49Updated 5 years ago
• LukasSchaefer / MSc_Curiosity_MARL
  MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning
  ☆13Updated 6 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆129Updated 2 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆50Updated 6 years ago
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 7 years ago
• cyanrain7 / TRPO-in-MARL
  ☆220Updated 2 years ago
• rhoowd / sched_net
  ☆90Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆94Updated last year
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆215Updated last year
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆67Updated 6 years ago
• wjh720 / QPLEX
  ☆100Updated 5 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆172Updated last year
• deligentfool / policy_based_RL
  The implement of the policy gradient RL algorithm with pytorch
  ☆40Updated 5 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆43Updated 6 years ago
• hijkzzz / noisy-mappo
  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
  ☆74Updated 2 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆62Updated 5 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆75Updated 3 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 10 months ago