Alternatives and similar repositories for reinforcement-learning

Users that are interested in reinforcement-learning are comparing it to the libraries listed below

• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,251Updated 6 years ago
• devsisters / DQN-tensorflow
  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
  ☆2,538Updated 6 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,972Updated 2 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• keras-rl / keras-rl
  Deep Reinforcement Learning for Keras.
  ☆5,554Updated last year
• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,312Updated 10 months ago
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,306Updated 4 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,197Updated 9 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,314Updated last year
• udacity / deep-reinforcement-learning
  Repo for the Deep Reinforcement Learning Nanodegree program
  ☆5,062Updated last year
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,110Updated 3 years ago
• aikorea / awesome-rl
  Reinforcement learning resources curated
  ☆9,135Updated 2 years ago
• IntelLabs / coach
  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  ☆2,348Updated 2 years ago
• hill-a / stable-baselines
  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆4,285Updated 2 years ago
• google-deepmind / trfl
  TensorFlow Reinforcement Learning
  ☆3,137Updated 2 years ago
• PacktPublishing / Deep-Reinforcement-Learning-Hands-On
  Hands-on Deep Reinforcement Learning, published by Packt
  ☆2,973Updated last month
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,439Updated 2 years ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,259Updated 4 years ago
• vmayoral / basic_reinforcement_learning
  An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
  ☆1,164Updated last year
• ikostrikov / pytorch-a2c-ppo-acktr-gail
  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…
  ☆3,779Updated 3 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,630Updated 3 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,110Updated 7 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,468Updated last year
• ShangtongZhang / reinforcement-learning-an-introduction
  Python Implementation of Reinforcement Learning: An Introduction
  ☆14,151Updated 10 months ago
• simoninithomas / Deep_reinforcement_learning_Course
  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
  ☆3,864Updated 2 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,598Updated 2 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,740Updated 2 years ago
• dennybritz / reinforcement-learning
  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…
  ☆21,347Updated last year
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,709Updated last year
• higgsfield-ai / higgsfield
  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…
  ☆3,391Updated last year