Alternatives and similar repositories for Reinforcement_Learning

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

• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆426Updated 2 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• araffin / rl-tutorial-jnrr19
  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
  ☆710Updated 2 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆101Updated 3 years ago
• sudharsan13296 / Deep-Reinforcement-Learning-With-Python
  Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
  ☆445Updated 4 years ago
• philtabor / Youtube-Code-Repository
  Repository for most of the code from my YouTube channel
  ☆927Updated 2 years ago
• cyoon1729 / deep-Q-networks
  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
  ☆308Updated 5 years ago
• RITCHIEHuang / DeepRL_Algorithms
  DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…
  ☆343Updated 2 years ago
• archsyscall / DeepRL-TensorFlow2
  🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
  ☆609Updated 3 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆239Updated 9 months ago
• Bigpig4396 / Multi-Agent-Reinforcement-Learning-Environment
  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
  ☆733Updated 3 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆352Updated 5 years ago
• quantumiracle / Popular-RL-Algorithms
  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…
  ☆1,293Updated 7 months ago
• shivaverma / OpenAIGym
  Solving OpenAI Gym problems.
  ☆187Updated 4 years ago
• MJeremy2017 / reinforcement-learning-implementation
  Reinforcement Learning examples implementation and explanation
  ☆340Updated last year
• PacktPublishing / Deep-Reinforcement-Learning-with-Python
  Deep Reinforcement Learning with Python, Second Edition, published by Packt
  ☆200Updated last month
• PacktPublishing / Tensorflow-2-Reinforcement-Learning-Cookbook
  Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
  ☆196Updated last month
• anita-hu / TF2-RL
  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
  ☆315Updated 3 years ago
• Rafael1s / Deep-Reinforcement-Learning-Algorithms
  32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…
  ☆951Updated 4 years ago
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆69Updated 4 months ago
• dongminlee94 / deep_rl
  PyTorch implementation of deep reinforcement learning algorithms
  ☆493Updated 3 years ago
• Stable-Baselines-Team / stable-baselines
  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆304Updated 2 years ago
• inarikami / keras-rl2
  Reinforcement learning with tensorflow 2 keras
  ☆253Updated 4 years ago
• StepNeverStop / RLs
  Reinforcement Learning Algorithms Based on PyTorch
  ☆448Updated 4 years ago
• iffiX / machin
  Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
  ☆419Updated 4 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,187Updated 3 years ago
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆299Updated last year
• PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Second-Edition
  Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
  ☆1,255Updated last year
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆619Updated last year