Alternatives and similar repositories for PPO_PyTorch

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

• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆98Updated 5 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆51Updated 3 months ago
• lsniper7614 / HIRO
  The hierarchy reinforcement learning algorithm(based on DDPG)
  ☆10Updated 6 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years 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…
  ☆92Updated 4 years ago
• chanb / metalearning_RL
  ☆20Updated 2 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆110Updated 4 years ago
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆162Updated 11 months 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。
  ☆43Updated 4 years ago
• schneimo / ddpg-pytorch
  PyTorch implementation of DDPG for continuous control tasks.
  ☆46Updated 5 years ago
• sungsulim / RLControl
  Implementation of Continuous Control RL Algorithms
  ☆11Updated 2 years ago
• Kirili4ik / HRL-taxi
  Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
  ☆21Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆141Updated 6 years ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆151Updated last year
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆119Updated 7 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…
  ☆289Updated 4 years ago
• xuemei-ye / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆21Updated 4 years ago
• ovechkin-dm / ppo-lstm-parallel
  ppo-lstm-parallel
  ☆44Updated 6 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 6 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆99Updated 2 years ago
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 years ago
• RickyMexx / SAC-tf2
  Implementation of Soft Actor-Critic (SAC) algorithm using TensorFlow 2.1.0
  ☆12Updated 5 years ago
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆69Updated last year
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆88Updated 4 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆79Updated 2 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…
  ☆86Updated 4 years ago
• gouxiangchen / ac-ppo
  Actor-Critic and openAI clipped PPO in gym cartpole-v0 and pendulum-v0 environment
  ☆25Updated 4 years ago