jsikyoon / a3c-distributed_tensorflow

Related projects: ⓘ

• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆43Updated 6 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆32Updated 7 years ago
• miyosuda / episodic_control
  Model-Free Episodic Control
  ☆15Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆38Updated 7 years ago
• avdmitry / rl_3d
  Reinforcement learning in 3D.
  ☆21Updated 7 years ago
• DorianKodelja / DeepMind-Atari-Deep-Q-Learner-2Player
  ☆14Updated 8 years ago
• gliese581gg / batch-A3C_tensorflow
  Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
  ☆22Updated 7 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆44Updated 8 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 7 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 7 years ago
• Kiwoo / distributional_perspective_on_RL
  Implementation of A Distributional Perspective on Reinforcement Learning
  ☆34Updated 7 years ago
• ikostrikov / pytorch-rl
  ☆57Updated 6 years ago
• PFCM / neural-episodic-control
  ☆30Updated 7 years ago
• jaesik817 / programmable-agents_tensorflow
  Tensorflow Implementation of Programmable Agents
  ☆36Updated 6 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 6 years ago
• andrewliao11 / NoisyNet-DQN
  ☆33Updated this week
• neka-nat / vin-keras
  This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras
  ☆18Updated 6 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 6 years ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆23Updated 7 years ago
• Breakend / ReproducibilityInContinuousPolicyGradientMethods
  These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…
  ☆18Updated 7 years ago
• ShibiHe / Model-Free-Episodic-Control
  This is the implementation of paper Model Free Episodic Control
  ☆37Updated 4 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆41Updated 7 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 7 years ago
• domluna / deep-rl-gym-tutorials
  Some code for tutorials following https://gym.openai.com/docs/rl
  ☆14Updated 8 years ago
• carpedm20 / a3c-tensorflow
  ☆33Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 6 years ago
• mjacar / pytorch-nec
  ☆70Updated this week
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆53Updated 7 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆53Updated 6 years ago