Alternatives and similar repositories for qmix_tf2

Users that are interested in qmix_tf2 are comparing it to the libraries listed below

• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆144Updated 5 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆223Updated 6 years ago
• oxwhirl / facmac
  ☆106Updated 4 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 3 years ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆91Updated 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
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆97Updated last year
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆372Updated 4 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆215Updated last year
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆166Updated 2 years ago
• marlbenchmark / off-policy
  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
  ☆518Updated 2 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆129Updated 2 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆434Updated 5 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
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆151Updated last year
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆64Updated 4 years ago
• rhoowd / sched_net
  ☆90Updated 4 years ago
• cyanrain7 / TRPO-in-MARL
  ☆220Updated 2 years ago
• Felhof / DiscreteSAC
  ☆40Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆93Updated last year
• wjh720 / QPLEX
  ☆100Updated 5 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 10 months ago
• jiechuanjiang / pytorch_DGN
  The pytorch implementation of DGN on grid world and Starcraft
  ☆149Updated 4 years ago
• hijkzzz / noisy-mappo
  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
  ☆73Updated 2 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆56Updated 3 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆354Updated 5 years ago
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆213Updated 3 years ago