Alternatives and similar repositories for MP-DQN

Users that are interested in MP-DQN are comparing it to the libraries listed below

• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 5 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆204Updated last year
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆146Updated last year
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆165Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆144Updated 5 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆125Updated 2 years ago
• cyanrain7 / TRPO-in-MARL
  ☆218Updated 2 years ago
• marlbenchmark / off-policy
  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
  ☆509Updated 2 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• oxwhirl / facmac
  ☆106Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆95Updated last year
• shariqiqbal2810 / maddpg-pytorch
  PyTorch Implementation of MADDPG (Lowe et. al. 2017)
  ☆660Updated 5 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 8 months ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆310Updated last year
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆94Updated 4 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆82Updated 3 years ago
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆365Updated 4 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆428Updated 5 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…
  ☆89Updated 4 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆353Updated 5 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆161Updated 2 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 4 years ago
• wjh720 / QPLEX
  ☆98Updated 5 years ago
• shariqiqbal2810 / MAAC
  Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
  ☆771Updated 3 years ago
• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆291Updated 4 years ago
• rhoowd / sched_net
  ☆89Updated 4 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆234Updated 3 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆87Updated 6 years ago