Alternatives and similar repositories for David-Silver-Reinforcement-learning:

Users that are interested in David-Silver-Reinforcement-learning are comparing it to the libraries listed below

• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,059Updated 3 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,160Updated 2 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,278Updated 11 months ago
• sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆846Updated 4 years ago
• brynhayder / reinforcement_learning_an_introduction
  Notes and exercise solutions for second edition of Sutton & Barto's book
  ☆377Updated 2 years ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,245Updated 4 years ago
• TianhongDai / reinforcement-learning-algorithms
  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…
  ☆674Updated 4 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆543Updated 4 months ago
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,273Updated last month
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,177Updated 4 years ago
• rlworkgroup / garage
  A toolkit for reproducible reinforcement learning research.
  ☆1,943Updated last year
• quantumiracle / Popular-RL-Algorithms
  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…
  ☆1,196Updated last week
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,275Updated last year
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,450Updated last year
• mpatacchiola / dissecting-reinforcement-learning
  Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
  ☆615Updated last year
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,585Updated last year
• MrSyee / pg-is-all-you-need
  Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
  ☆901Updated 2 months ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,608Updated 3 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,619Updated 9 months ago
• enggen / DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
  ☆829Updated 5 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…
  ☆748Updated 6 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,949Updated last year
• JKCooper2 / rlai-exercises
  Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
  ☆106Updated 2 years ago
• Curt-Park / rainbow-is-all-you-need
  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
  ☆1,926Updated 4 months ago
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆291Updated last year
• dongminlee94 / deep_rl
  PyTorch implementation of deep reinforcement learning algorithms
  ☆494Updated 3 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,256Updated 5 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,106Updated 7 years ago
• Zhenye-Na / reinforcement-learning-stanford
  🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
  ☆307Updated last year
• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆675Updated 10 months ago