Alternatives and similar repositories for Hands-On-Reinforcement-Learning-With-Python

Users that are interested in Hands-On-Reinforcement-Learning-With-Python are comparing it to the libraries listed below

• AndyYue1893 / Deep-reinforcement-learning-with-pytorch
  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
  ☆52Updated 5 years ago
• AndyYue1893 / reinforcement-learning-an-introduction
  Python Implementation of Reinforcement Learning: An Introduction
  ☆30Updated 6 years ago
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆94Updated 2 years ago
• tinyzqh / control-of-jump-systems-based-on-reinforcement-learning
  Code for the paper “Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning”
  ☆25Updated 2 years ago
• kaixindelele / DRL-tensorflow
  My DRL library with tensorflow1.14 based on openai spinning-up
  ☆63Updated 4 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。
  ☆44Updated 5 years ago
• manaski / MARL
  多智能体强化学习
  ☆103Updated 6 years ago
• rlchina / RLCN
  ☆126Updated 4 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆132Updated 8 months ago
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆94Updated last year
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆89Updated 5 years ago
• Teacher-Guo / RL_code
  RL-code for beginners. Enjoying!
  ☆115Updated 5 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 8 months ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆165Updated last year
• ZYunfeii / DRL_algorithm_library
  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
  ☆104Updated 3 years ago
• hangsz / reinforcement_learning
  [动手学强化学习]系列，基于pytorch。
  ☆58Updated 4 years ago
• onewarmheart / IntelligentControl
  Intelligent control algorithm and simulation environment.
  ☆17Updated 5 years ago
• xuemei-ye / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆21Updated 4 years ago
• a-big-tomato / reinforcement_learning_Interview_Notes-Chinese
  强化学习面试（未完待续）
  ☆34Updated 5 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆197Updated last year
• jidiai / ai_lib
  ☆171Updated 2 years ago
• quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
  Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…
  ☆32Updated 2 years ago
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆33Updated 4 years ago
• Liadrinz / RLlib-Common-Paramters
  RLlib超参数详解（中文）
  ☆18Updated 3 years ago
• Quantum-Cheese / DeepReinforcementLearning_Pytorch
  Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
  ☆56Updated 4 years ago
• CoderAT13 / BipedalWalkerHardcore-SAC
  BipedalWalker & BipedalWalkerHardcore solved by SAC
  ☆25Updated 2 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 4 years ago
• TobiasLv / RAD
  ☆54Updated 4 months ago