Alternatives and similar repositories for ale_python_interface:

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

• google-deepmind / xitari
  This is the 0.4 release of the Arcade Learning Environment (ALE), a platform designed for AI research. ALE is based on Stella, an Atari 2…
  ☆160Updated 7 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• Jabberwockyll / deep_rl_ale
  An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
  ☆74Updated 8 years ago
• osh / kerlym
  KEras Reinforcement Learning gYM agents
  ☆290Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• wojzaremba / trpo
  ☆100Updated 8 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆212Updated 7 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆252Updated 5 years ago
• zhongwen / predictron
  Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
  ☆290Updated 8 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 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 …
  ☆83Updated 9 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
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆162Updated 7 years ago
• Ardavans / DSR
  ☆97Updated 8 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• facebookarchive / CommNet
  Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736
  ☆213Updated 8 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆92Updated 7 years ago
• mrkulk / deepQN_tensorflow
  Unfinished. Deep Q Learning in Tensorflow for ATARI.
  ☆84Updated 9 years ago
• openai / retro-baselines
  Publicly releasable baselines for the Retro contest
  ☆127Updated 6 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• yandexdataschool / AgentNet
  Deep Reinforcement Learning library for humans
  ☆300Updated 7 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆418Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆221Updated 7 years ago
• mhauskn / dqn
  An implementation of Deep Q-Network using Caffe
  ☆69Updated 9 years ago