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 8 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆42Updated 8 years ago
• h2r / burlap_caffe
  ☆53Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• babaktr / async-deep-flappybird
  Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.
  ☆30Updated 7 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 7 years ago
• mihahauke / VDAIC2017
  Helpful files for Visual Doom AI Competition 2017
  ☆44Updated 6 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆56Updated 7 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 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
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• hiwonjoon / tf-a3c-gpu
  Tensorflow implementation of A3C algorithm
  ☆46Updated 7 years ago
• itaicaspi / keras-dqn-doom
  Keras implementation of DQN on ViZDoom environment
  ☆54Updated 8 years ago
• hardikbansal / Qlearning
  ☆39Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 8 months ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆24Updated 8 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆31Updated 7 years ago
• avdmitry / rl_3d
  Reinforcement learning in 3D.
  ☆21Updated 8 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆40Updated 6 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• devsisters / neural-combinatorial-rl-tensorflow
  in progress
  ☆107Updated 7 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• mihahauke / deep_rl_vizdoom
  Deep reinforcement learning in ViZDoom (using Tensorflow)
  ☆19Updated 7 years ago
• arrti / mcts
  An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
  ☆51Updated 7 years ago
• kimhc6028 / policy-gradient-importance-sampling
  Policy gradient reinforcement learning algorithm with importance sampling
  ☆32Updated 7 years ago