Alternatives and similar repositories for async_deep_reinforce

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

• wojzaremba / trpo
  ☆101Updated 8 years ago
• Ardavans / DSR
  ☆97Updated 8 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• junhyukoh / nips2015-action-conditional-video-prediction
  Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
  ☆114Updated 9 years ago
• sudeepraja / Model-Free-Episodic-Control
  Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460
  ☆55Updated 8 years ago
• junhyukoh / icml2016-minecraft
  Implementation of "Control of Memory, Active Perception, and Action in Minecraft"
  ☆86Updated 8 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• Kaixhin / rlenvs
  Reinforcement learning environments for Torch7
  ☆91Updated 8 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 8 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆176Updated 7 years ago
• mhauskn / dqn
  An implementation of Deep Q-Network using Caffe
  ☆71Updated 9 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆96Updated 7 years ago
• traai / async-deep-rl
  A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
  ☆67Updated 8 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆152Updated 7 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 7 years ago
• iassael / torch-bootstrapped-dqn
  Torch implementation of "Deep Exploration via Bootstrapped DQN"
  ☆42Updated 9 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆133Updated 3 years ago
• rarilurelo / pytorch_a3c
  ☆38Updated 8 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆263Updated 7 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago