Alternatives and similar repositories for ReinforcementLearning_Sutton-Barto_Solutions

Users that are interested in ReinforcementLearning_Sutton-Barto_Solutions are comparing it to the libraries listed below

• PacktPublishing / PyTorch-1.x-Reinforcement-Learning-Cookbook
  PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
  ☆101Updated 2 years ago
• kamenbliznashki / sutton_barto
  Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction
  ☆90Updated 6 years ago
• Zhenye-Na / reinforcement-learning-stanford
  🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
  ☆308Updated 2 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆139Updated 2 years ago
• mdeib / berkeley-deep-RL-pytorch-solutions
  Pytorch solutions for UC Berkeley's cs285 assignments
  ☆140Updated 3 years ago
• Huixxi / CS234-Reinforcement-Learning-Winter-2019
  My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
  ☆169Updated 2 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆117Updated 2 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆234Updated 7 months ago
• RchalYang / torchrl
  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
  ☆226Updated 3 years ago
• berkeleydeeprlcourse / homework_fall2020
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
  ☆251Updated 4 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆121Updated 4 years ago
• RPC2 / DRL_paper_summary
  Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.
  ☆82Updated 5 years ago
• archsyscall / DistRL-TensorFlow2
  🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
  ☆69Updated 4 years ago
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆66Updated 3 years ago
• PacktPublishing / Reinforcement-Learning-Algorithms-with-Python
  Reinforcement Learning Algorithms with Python, Published by Packt
  ☆183Updated 2 years ago
• gwthomas / force
  A library for reinforcement learning research
  ☆57Updated 6 months ago
• MJeremy2017 / reinforcement-learning-implementation
  Reinforcement Learning examples implementation and explanation
  ☆336Updated last year
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆218Updated 2 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆95Updated 2 months ago
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆301Updated 2 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆72Updated 3 years ago
• xuwd11 / cs294-112_hws
  My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
  ☆92Updated 6 years ago
• dbobrenko / awesome-rl
  Awesome RL: Papers, Books, Codes, Benchmarks
  ☆116Updated last year
• PacktPublishing / Hands-on-Reinforcement-Learning-with-PyTorch
  Hands-on Reinforcement Learning with PyTorch, published by [Packt]
  ☆56Updated 4 years ago
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆90Updated 5 years ago
• matteocasolari / reinforcement-learning-an-introduction-solutions
  Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
  ☆33Updated 3 years ago
• diegoalejogm / Reinforcement-Learning
  Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
  ☆159Updated 5 years ago
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆29Updated 6 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆78Updated 4 years ago
• antonio-f / Dynamic-Programming
  Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncat…
  ☆12Updated 6 years ago