MollyZhang / AlphaGoPolicyNetLinks
Implementing the supervised learning policy networks of AlphaGo
☆12Updated 7 years ago
Alternatives and similar repositories for AlphaGoPolicyNet
Users that are interested in AlphaGoPolicyNet are comparing it to the libraries listed below
Sorting:
- 9x9 AlphaGo☆13Updated 9 years ago
- Monte Carlo Tree Search (MCTS) ,realize using python☆12Updated 9 years ago
- a Renju game, replicate paper "Mastering the game of Go with deep neural networks and tree search"☆20Updated 9 years ago
- Toolkit designed to ease development of your Deep Neural Network models for the game of Go (weiqi, baduk).☆20Updated 8 years ago
- 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
- This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube☆121Updated 8 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Updated 7 years ago
- using CNN to do move prediction and board evaluation for the board game Go☆147Updated 7 years ago
- Atari gauntlet for RL agents☆29Updated 8 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Dataset preprocessor for the KGS go dataset, eg according to Clark and Storkey input planes☆73Updated 9 years ago
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆43Updated 7 years ago
- The assignments of CS231n finished by me☆20Updated 9 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- Implementation of q-learning using TensorFlow☆58Updated 8 years ago
- Multilayer Neural Network using numpy.☆55Updated 8 years ago
- A Keras Model to get VGG Features of an Image. With pre-trained weights☆13Updated 9 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆29Updated 7 years ago
- Implementation of A Distributional Perspective on Reinforcement Learning☆35Updated 8 years ago
- ☆107Updated 7 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 8 years ago
- 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
- ☆30Updated 8 years ago
- Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.☆54Updated 8 years ago
- Reinforcement learning with a convolutional neural network.☆35Updated 10 years ago
- AI Final Project☆65Updated 9 years ago
- Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc☆43Updated 9 years ago
- Differentiable neural computers☆27Updated 9 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆54Updated 7 years ago