Alternatives and similar repositories for Deep-Reinforcement-Learning:

Users that are interested in Deep-Reinforcement-Learning are comparing it to the libraries listed below

• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆89Updated 2 years ago
• gabrielgarza / openai-gym-policy-gradient
  Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
  ☆111Updated 7 years ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆70Updated 3 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• MG2033 / A2C
  A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
  ☆181Updated 6 years ago
• AndersonJo / dqn-pytorch
  Deep Q Learning via Pytorch
  ☆86Updated 7 years ago
• EmbersArc / PPO
  PPO implementation for OpenAI gym environment based on Unity ML Agents
  ☆149Updated 6 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆150Updated last year
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆168Updated 6 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆45Updated 2 years ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆105Updated 6 years ago
• mehdiboubnan / Deep-Reinforcement-Learning-applied-to-DOOM
  DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
  ☆84Updated 4 years ago
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆135Updated 10 months ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 6 years ago
• colinskow / move37
  Coding Demos from the School of AI's Move37 Course
  ☆185Updated 6 years ago
• yilundu / DQN-DDQN-on-Space-Invaders
  Implementation of Double Deep Q Networks and Dueling Q Networks using Keras on Space Invaders using OpenAI Gym. Code can be easily genera…
  ☆37Updated 6 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• rgilman33 / simple-A2C-PPO
  Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
  ☆103Updated 5 years ago
• minqi / learning-to-communicate-pytorch
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
  ☆348Updated 5 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• ShanHaoYu / Deep-Q-Network-Breakout
  This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
  ☆30Updated 7 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆171Updated 3 years ago
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆179Updated 5 months ago
• GaetanJuvin / Deep_QLearning_CartPole
  My Journey Into Deep Q-Learning with Keras and Gym
  ☆59Updated last year
• ChintanTrivedi / rl-bot-football
  An RL agent for the Google Football environment
  ☆95Updated 3 years ago
• openai / gym-soccer
  ☆303Updated last year
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆102Updated 4 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆126Updated 5 years ago
• mrahtz / ocd-a3c
  TensorFlow implementation of asynchronous advantage actor-critic (A3C)
  ☆39Updated 3 years ago