Alternatives and similar repositories for Deep-Reinforcement-Learning-Hands-On

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

• PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Second-Edition
  Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
  ☆1,242Updated last year
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,336Updated last year
• p-christ / Deep-Reinforcement-Learning-Algorithms-with-PyTorch
  PyTorch implementations of deep reinforcement learning algorithms and environments
  ☆5,871Updated last year
• hill-a / stable-baselines
  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆4,310Updated 3 years ago
• udacity / deep-reinforcement-learning
  Repo for the Deep Reinforcement Learning Nanodegree program
  ☆5,096Updated last year
• Curt-Park / rainbow-is-all-you-need
  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
  ☆1,981Updated 3 months ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,079Updated 4 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,760Updated last year
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,124Updated 3 years ago
• PacktPublishing / Hands-On-Reinforcement-Learning-with-Python
  Hands-On Reinforcement Learning with Python, published by Packt
  ☆825Updated 2 years ago
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,298Updated last week
• sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆859Updated 4 years ago
• seungeunrho / minimalRL
  Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
  ☆3,060Updated 2 years ago
• simoninithomas / Deep_reinforcement_learning_Course
  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
  ☆3,877Updated 2 years ago
• dalmia / David-Silver-Reinforcement-learning
  Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
  ☆828Updated 3 years ago
• sweetice / Deep-reinforcement-learning-with-pytorch
  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
  ☆4,441Updated 2 years ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,267Updated 4 years ago
• DeepReinforcementLearning / DeepReinforcementLearningInAction
  Code from the Deep Reinforcement Learning in Action book from Manning, Inc
  ☆806Updated last year
• rlworkgroup / garage
  A toolkit for reproducible reinforcement learning research.
  ☆2,022Updated 2 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,478Updated last year
• enggen / DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
  ☆842Updated 6 years ago
• omerbsezer / Reinforcement_learning_tutorial_with_demo
  Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…
  ☆764Updated 6 years ago
• ZhiqingXiao / rl-book
  Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
  ☆980Updated last month
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆547Updated 10 months ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,182Updated 2 years ago
• mimoralea / gdrl
  Grokking Deep Reinforcement Learning
  ☆953Updated 3 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…
  ☆1,277Updated 5 months 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…
  ☆938Updated 4 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,614Updated 2 years ago
• sfujim / TD3
  Author's PyTorch implementation of TD3 for OpenAI gym tasks
  ☆1,948Updated 2 years ago