Alternatives and similar repositories for Direct-Future-Prediction-Keras

Users that are interested in Direct-Future-Prediction-Keras are comparing it to the libraries listed below

• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago
• hiwonjoon / tf-a3c-gpu
  Tensorflow implementation of A3C algorithm
  ☆46Updated 7 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 7 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• Scitator / Run-Skeleton-Run
  Reason8.ai PyTorch solution for NIPS RL 2017 challenge
  ☆84Updated 5 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago
• KokoMind / Recurrent-Environment-Simulators
  Deepmind Recurrent Environment Simulators paper implementation in tensorflow
  ☆74Updated 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 …
  ☆84Updated 9 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• itaicaspi / keras-dqn-doom
  Keras implementation of DQN on ViZDoom environment
  ☆54Updated 8 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago
• iassael / torch-bootstrapped-dqn
  Torch implementation of "Deep Exploration via Bootstrapped DQN"
  ☆42Updated 9 years ago
• isl-org / DirectFuturePrediction
  Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
  ☆150Updated 9 months ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆42Updated 7 years ago
• deeplearninc / relaax
  Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
  ☆61Updated 7 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• jonathonbyrd / deep_rl_ale
  An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
  ☆74Updated 8 years ago
• dylandjian / retro-contest-sonic
  World Models applied to the Open AI Sonic Retro Contest
  ☆77Updated 6 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• moskomule / pytorch.rl.learning
  for learning reinforcement learning using PyTorch.
  ☆64Updated 5 years ago
• junhyukoh / nips2015-action-conditional-video-prediction
  Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
  ☆114Updated 9 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆131Updated 3 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago