Alternatives and similar repositories for basic_reinforcement_learning

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

• mpatacchiola / dissecting-reinforcement-learning
  Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
  ☆623Updated 2 years ago
• dalmia / David-Silver-Reinforcement-learning
  Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
  ☆842Updated 3 years ago
• sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆862Updated 5 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,389Updated last year
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,643Updated 2 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,201Updated 9 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,499Updated last year
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,122Updated 8 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,036Updated 2 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…
  ☆780Updated 6 years ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,081Updated 4 years ago
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆1,054Updated 3 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,612Updated 2 years ago
• erlerobot / gym-gazebo
  Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
  ☆845Updated 6 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,270Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆726Updated 8 years ago
• DanielTakeshi / Paper_Notes
  This will contain my notes for research papers that I read.
  ☆624Updated 6 years ago
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆331Updated 5 years ago
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,152Updated 4 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,839Updated last year
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆836Updated 9 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,191Updated 3 years ago
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,312Updated 5 years ago
• JKCooper2 / rlai-exercises
  Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
  ☆107Updated 3 years ago
• harvitronix / reinforcement-learning-car
  Using reinforcement learning to teach a car to avoid obstacles.
  ☆493Updated 5 years ago
• udacity / deep-reinforcement-learning
  Repo for the Deep Reinforcement Learning Nanodegree program
  ☆5,132Updated 2 years ago
• araffin / robotics-rl-srl
  S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
  ☆651Updated 4 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 3 years ago
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,386Updated 2 years ago