Alternatives and similar repositories for Codes-for-RL-PER

Users that are interested in Codes-for-RL-PER are comparing it to the libraries listed below

• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆106Updated 4 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 8 months 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
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆96Updated last year
• xuemei-ye / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆22Updated 4 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 6 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆87Updated 6 years ago
• rhoowd / sched_net
  ☆90Updated 4 years ago
• sumitsk / marl_transfer
  Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
  ☆115Updated 2 years ago
• livey / scalable_maddpg
  scalable multi agents reinforcement learning
  ☆63Updated 7 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆50Updated 5 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆204Updated last year
• shariqiqbal2810 / multiagent-particle-envs
  ☆48Updated 5 years ago
• dadadidodi / m3ddpg
  ☆54Updated 6 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆133Updated 9 months ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 5 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆222Updated 6 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 4 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆42Updated 6 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆94Updated 4 years ago
• deligentfool / policy_based_RL
  The implement of the policy gradient RL algorithm with pytorch
  ☆40Updated 4 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆55Updated 4 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆144Updated 5 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆61Updated 5 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• kaixindelele / DRL-tensorflow
  My DRL library with tensorflow1.14 based on openai spinning-up
  ☆63Updated 4 years ago
• oxwhirl / facmac
  ☆106Updated 4 years ago