Alternatives and similar repositories for RL-Algorithm

Users that are interested in RL-Algorithm are comparing it to the libraries listed below

• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆169Updated last year
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆234Updated 4 years ago
• Jingliang-Duan / DSAC-v2
  DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
  ☆427Updated 3 weeks ago
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆96Updated 4 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 4 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆135Updated 10 months ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 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
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆95Updated 2 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆90Updated 8 months ago
• rlchina / RLCN
  ☆128Updated 4 years ago
• oxwhirl / facmac
  ☆106Updated 4 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
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years ago
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 7 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆220Updated 2 years ago
• CoderAT13 / BipedalWalkerHardcore-SAC
  BipedalWalker & BipedalWalkerHardcore solved by SAC
  ☆26Updated 2 years ago
• kaixindelele / DRLib
  DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.
  ☆561Updated last year
• zhangchuheng123 / Reinforcement-Implementation
  Implementation of benchmark RL algorithms
  ☆472Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆214Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆129Updated 2 years ago
• 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。
  ☆45Updated 5 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
• jidiai / ai_lib
  ☆174Updated 2 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆95Updated 4 years ago
• NovemberChopin / RL_Tutorial
  Tutorial for Reinforcement Learning
  ☆190Updated 3 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 10 months ago