Alternatives and similar repositories for DeepChess

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

• 2014mchidamb / AdversarialChess
  Style transfer for chess.
  ☆32Updated 8 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
• jbradberry / ultimate_tictactoe
  An implementation of 9x9 Tic Tac Toe
  ☆76Updated 5 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 9 years ago
• hughperkins / kgsgo-dataset-preprocessor
  Dataset preprocessor for the KGS go dataset, eg according to Clark and Storkey input planes
  ☆73Updated 9 years ago
• jmgilmer / GoCNN
  using CNN to do move prediction and board evaluation for the board game Go
  ☆147Updated 7 years ago
• brian473 / neural_rl
  Reinforcement learning with a convolutional neural network.
  ☆35Updated 10 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆44Updated 7 years ago
• arnabgho / Contextual-RNN-GAN
  Contextual RNN-GANs for Abstract Reasoning Diagram Generation
  ☆30Updated 7 years ago
• jerpint / rubiks_cube_convnet
  How to train a convnet to solve a rubiks cube
  ☆126Updated 7 years ago
• lopespm / agent-trainer
  Using tensorflow, this agent can autonomously train itself to play Out Run and potentially be modified to play other games or perform tas…
  ☆69Updated 9 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• sangmichaelxie / giraffe
  Learning from Expert Data, Approximate IRL, and TD-Leaf for Deep Reinforcement Learning Chess, built on the recent Giraffe engine
  ☆32Updated 10 years ago
• int8 / chess-position-evaluation
  Chess position evaluation using neural networks
  ☆26Updated 6 years ago
• zmonoid / mxasyn
  Asynchronous One Step Q Learning implemented with MXNET
  ☆20Updated 9 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 4 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆29Updated 9 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 years ago
• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆113Updated 4 years ago
• BojanPLOJ / Bipropagation
  ☆42Updated 4 years ago
• Mononofu / reinforcement-learning
  Implementing exercises from Reinforcement Learning: An Introduction
  ☆64Updated 10 years ago
• moscow25 / deep_draw
  Convolution neural network... for draw video poker. Perhaps, we learn something useful for other poker, too.
  ☆109Updated 9 years ago
• jimfleming / differentiation
  Implementing (parts of) TensorFlow (almost) from Scratch
  ☆30Updated 8 years ago
• mrkulk / deepQN_tensorflow
  Unfinished. Deep Q Learning in Tensorflow for ATARI.
  ☆84Updated 9 years ago
• apaszke / pytorch-dist
  ☆35Updated 8 years ago
• openai / pachi-py
  Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.
  ☆41Updated 2 years ago
• crypt3lx2k / Zerofish
  An implementation of the AlphaZero algorithm for chess
  ☆34Updated 3 years ago
• lazydroid / deep-murasaki
  Deep learning chess engine, that has no idea about chess rules, but watches and learns
  ☆18Updated 8 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 9 years ago
• thtrieu / essence
  AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…
  ☆79Updated 5 years ago