Alternatives and similar repositories for Deep-RL-agents

Users that are interested in Deep-RL-agents are comparing it to the libraries listed below

• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆271Updated 5 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆88Updated 2 years ago
• flyyufelix / VizDoom-Keras-RL
  Reinforcement Learning in Keras on VizDoom
  ☆143Updated 7 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆156Updated 6 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆126Updated 7 years ago
• Shmuma / rl
  RL experiments
  ☆69Updated 2 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆103Updated 5 years ago
• FitMachineLearning / PPO-Keras
  Keras Implementation of PPO to solve OpenAI Gym Environments
  ☆16Updated 7 years ago
• liampetti / DDPG
  Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…
  ☆64Updated 8 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 7 years ago
• JKCooper2 / gym-bandits
  Bandits Environments for the OpenAI Gym
  ☆89Updated 5 years ago
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆300Updated last year
• openai / gym-soccer
  ☆302Updated 2 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆327Updated 7 years ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆106Updated 6 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆170Updated 7 years ago
• slowbull / DDPG
  Tensorflow implementation of Deep Deterministic Policy Gradients
  ☆19Updated 8 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆346Updated 6 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆355Updated 8 years ago
• uber-research / atari-model-zoo
  A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…
  ☆202Updated 5 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆489Updated 2 months ago
• Breakend / gym-extensions
  This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…
  ☆217Updated 6 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆160Updated 5 years ago