Alternatives and similar repositories for tf-a3c-gpu

Users that are interested in tf-a3c-gpu are comparing it to the libraries listed below

• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 3 years ago
• Kiwoo / distributional_perspective_on_RL
  Implementation of A Distributional Perspective on Reinforcement Learning
  ☆35Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• itaicaspi / keras-dqn-doom
  Keras implementation of DQN on ViZDoom environment
  ☆54Updated 8 years ago
• andreimuntean / A3C
  Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
  ☆66Updated 7 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• junhyukoh / icml2016-minecraft
  Implementation of "Control of Memory, Active Perception, and Action in Minecraft"
  ☆86Updated 8 years ago
• KokoMind / Recurrent-Environment-Simulators
  Deepmind Recurrent Environment Simulators paper implementation in tensorflow
  ☆74Updated 7 years ago
• carpedm20 / a3c-tensorflow
  ☆32Updated 8 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• ikostrikov / pytorch-rl
  ☆56Updated 7 years ago
• eyounx / RetroCodes
  Codes of our team for the OpenAI Retro Contest of reinforcement learning
  ☆99Updated 7 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 8 years ago
• wojzaremba / trpo
  ☆101Updated 9 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 7 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• deeplearninc / relaax
  Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
  ☆61Updated 7 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆130Updated 3 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
• 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
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago