Alternatives and similar repositories for Reinforcement_Learning_Project

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

• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• babaktr / async-deep-flappybird
  Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.
  ☆30Updated 8 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆160Updated 5 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆43Updated 9 years ago
• andreimuntean / A3C
  Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
  ☆66Updated 7 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• itaicaspi / keras-dqn-doom
  Keras implementation of DQN on ViZDoom environment
  ☆54Updated 9 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 4 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 8 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 9 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago
• mihahauke / VDAIC2017
  Helpful files for Visual Doom AI Competition 2017
  ☆44Updated 7 years ago
• mhauskn / dqn
  An implementation of Deep Q-Network using Caffe
  ☆71Updated 10 years ago
• kimhc6028 / policy-gradient-importance-sampling
  Policy gradient reinforcement learning algorithm with importance sampling
  ☆32Updated 8 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆31Updated 8 years ago
• Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-Learning
  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …
  ☆84Updated 9 years ago
• mihahauke / deep_rl_vizdoom
  Deep reinforcement learning in ViZDoom (using Tensorflow)
  ☆19Updated 7 years ago
• h2r / burlap_caffe
  ☆53Updated 8 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆91Updated 8 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 10 years ago
• traai / async-deep-rl
  A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
  ☆68Updated 9 years ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆24Updated 9 years ago
• avdmitry / rl_3d
  Reinforcement learning in 3D.
  ☆21Updated 8 years ago
• mhauskn / dqn-hfo
  ☆79Updated 7 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago