Alternatives and similar repositories for tensorflow-value-iteration-networks

Users that are interested in tensorflow-value-iteration-networks are comparing it to the libraries listed below

• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 6 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆406Updated 8 years ago
• zhongwen / predictron
  Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
  ☆290Updated 8 years ago
• Mostafa-Samir / DNC-tensorflow
  A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
  ☆579Updated 5 years ago
• avivt / VIN
  Value Iteration Networks
  ☆289Updated 8 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆701Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• osh / kerlym
  KEras Reinforcement Learning gYM agents
  ☆290Updated 8 years ago
• andrewliao11 / Deep-Reinforcement-Learning-Survey
  My Exploration on Deep Reinforcement Learning Survey
  ☆432Updated 7 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆227Updated 7 years ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,011Updated 7 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 7 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆214Updated 7 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆164Updated 8 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆486Updated last month
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆967Updated 6 years ago
• twitter-archive / torch-twrl
  Torch-twrl is a package that enables reinforcement learning in Torch.
  ☆249Updated 8 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 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
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 6 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆833Updated 9 years ago
• 5vision / deep-reinforcement-learning-networks
  A list of deep neural network architectures for reinforcement learning tasks.
  ☆169Updated 8 years ago
• shaohua0116 / Activation-Visualization-Histogram
  Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
  ☆375Updated 7 years ago
• KnHuq / Dynamic-Tensorflow-Tutorial
  Tensorflow tutorial of building different dynamic recurrent neural network
  ☆500Updated 7 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆346Updated 6 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago