Alternatives and similar repositories for AlphaGoPolicyNet

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

• zkailinzhang / Py_Alphago
  Monte Carlo Tree Search (MCTS) ,realize using python
  ☆12Updated 9 years ago
• Aleum / AlphaGo
  9x9 AlphaGo
  ☆13Updated 9 years ago
• jmgilmer / GoCNN
  using CNN to do move prediction and board evaluation for the board game Go
  ☆147Updated 7 years ago
• yao62995 / Renju-AI
  a Renju game, replicate paper "Mastering the game of Go with deep neural networks and tree search"
  ☆20Updated 9 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
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• jmoudrik / deep-go-wrap
  Toolkit designed to ease development of your Deep Neural Network models for the game of Go (weiqi, baduk).
  ☆20Updated 8 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆43Updated 7 years ago
• arushk1 / vggfeatures-keras
  A Keras Model to get VGG Features of an Image. With pre-trained weights
  ☆13Updated 9 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• louishenrifranc / attention
  Attention is All You Need in Sonnet
  ☆38Updated 8 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆43Updated 9 years ago
• hardikbansal / Qlearning
  ☆39Updated 8 years ago
• ritchieng / wideresnet-tensorlayer
  Wide Residual Networks implemented in TensorLayer and TensorFlow.
  ☆44Updated 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 )"
  ☆84Updated 8 years ago
• stone8oy / deepRL
  deep reinforcement learning for personal research
  ☆85Updated 8 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• awbrown90 / DeepReinforcementLearning
  ☆27Updated 7 years ago
• carpedm20 / paper-notes
  personal notes
  ☆55Updated 8 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
• Kiwoo / distributional_perspective_on_RL
  Implementation of A Distributional Perspective on Reinforcement Learning
  ☆35Updated 8 years ago
• zzw922cn / TensorFlow-Input-Pipeline
  TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue
  ☆53Updated 8 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 8 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆51Updated 7 years ago
• nutszebra / neural_architecture_search_with_reinforcement_learning_appendix_a
  Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
  ☆54Updated 7 years ago
• fangzai / DeepQLearning
  A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.
  ☆26Updated 10 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 8 years ago
• PFCM / neural-episodic-control
  ☆30Updated 8 years ago
• coxlab / tsnet
  Tensor Switching Networks
  ☆12Updated 7 years ago