Alternatives and similar repositories for predictron:

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

• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆553Updated 6 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• 5vision / deep-reinforcement-learning-networks
  A list of deep neural network architectures for reinforcement learning tasks.
  ☆166Updated 8 years ago
• osh / kerlym
  KEras Reinforcement Learning gYM agents
  ☆290Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• avivt / VIN
  Value Iteration Networks
  ☆289Updated 7 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• zuoxingdong / VIN_PyTorch_Visdom
  PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
  ☆227Updated 7 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆162Updated 7 years ago
• wojzaremba / trpo
  ☆100Updated 8 years ago
• danijar / mindpark
  Testbed for deep reinforcement learning
  ☆160Updated 7 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆221Updated 7 years ago
• awjuliani / dfp
  Reinforcement Learning with Goals
  ☆170Updated 5 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• twitter-archive / torch-twrl
  Torch-twrl is a package that enables reinforcement learning in Torch.
  ☆249Updated 7 years ago
• jsikyoon / visual-interaction-networks_tensorflow
  Tensorflow Implementation of Visual Interaction Networks
  ☆131Updated 5 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
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆590Updated 6 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆278Updated 7 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
• viswanathgs / dist-dqn
  Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym
  ☆182Updated 8 years ago
• junhyukoh / nips2015-action-conditional-video-prediction
  Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
  ☆114Updated 9 years ago
• mokemokechicken / keras_npi
  NPI(Neural Programmer-Interpreters) implementation with Keras
  ☆243Updated 2 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
• kentsommer / pytorch-value-iteration-networks
  Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
  ☆319Updated 4 years ago
• Jabberwockyll / deep_rl_ale
  An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
  ☆74Updated 8 years ago