Alternatives and similar repositories for neural-combinatorial-rl-tensorflow:

Users that are interested in neural-combinatorial-rl-tensorflow are comparing it to the libraries listed below

• vshallc / PtrNets
  Pointer Networks
  ☆103Updated 9 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• ikostrikov / TensorFlow-Pointer-Networks
  TensorFlow implementation of Pointer Networks
  ☆203Updated 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 8 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• devsisters / pointer-network-tensorflow
  TensorFlow implementation of "Pointer Networks"
  ☆472Updated 7 years ago
• zygmuntz / pointer-networks-experiments
  Sorting numbers with pointer networks
  ☆55Updated 6 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆222Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 7 years ago
• Jabberwockyll / deep_rl_ale
  An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
  ☆74Updated 7 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
• osh / kerlym
  KEras Reinforcement Learning gYM agents
  ☆291Updated 7 years ago
• zhongwen / predictron
  Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
  ☆290Updated 8 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆185Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 6 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
• floodsung / DDPG-tensorflow
  DDPG on OpenAI Gym Pendulum
  ☆19Updated 8 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆41Updated 8 years ago
• karthikncode / text-world-player
  Framework and model code for the paper "Language Understanding for Text-based Games using Deep Reinforcement Learning", EMNLP 2015
  ☆127Updated 8 years ago
• iassael / torch-bootstrapped-dqn
  Torch implementation of "Deep Exploration via Bootstrapped DQN"
  ☆42Updated 8 years ago
• higgsfield / np-hard-deep-reinforcement-learning
  pytorch neural combinatorial optimization
  ☆379Updated 7 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 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
• awjuliani / dfp
  Reinforcement Learning with Goals
  ☆170Updated 5 years ago
• wojzaremba / trpo
  ☆99Updated 8 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆85Updated 7 years ago
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 7 years ago