Alex-zhai

Alex-zhai's Stars

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k2.6k

• muupan/deep-reinforcement-learning-papers

  A list of papers and resources dedicated to deep reinforcement learning

  836187

• 5vision/DARQN

  Deep Attention Recurrent Q-Network

  Language:Lua11638

• omgteam/dqn_detection

  Object Detection with Deep Q-Network Agents

  Language:Python51

• karthikncode/text-world-player

  Framework and model code for the paper "Language Understanding for Text-based Games using Deep Reinforcement Learning", EMNLP 2015

  Language:Lua12732

• junhyukoh/nips2015-action-conditional-video-prediction

  Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

  Language:Jupyter Notebook11551

• siemanko/tensorflow-deepq

  A deep Q learning demonstration using Google Tensorflow

  Language:Jupyter Notebook1.2k295

• spragunr/deep_q_rl

  Theano-based implementation of Deep Q-learning

  Language:Python1.1k348

• ty4z2008/Qix

  Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

  14.7k4.7k

• Islandman93/learningALE

  https://github.com/Islandman93/reinforcepy

  21

• SunLinJie/DQN_for_SimpleMaze

  Deep Q-network for simple maze. The agent can find a best route.It's very interesting.Its require torch7.

  Language:Lua4

• Kaixhin/Atari

  Persistent advantage learning dueling double DQN for the Arcade Learning Environment

  Language:Lua26473

• watts4speed/fast-dqn-caffe

  Optimized dqn for caffe

  Language:C++117

• yoonkim/lstm-char-cnn

  LSTM language model with CNN over characters

  Language:Lua826221

• muupan/dqn-in-the-caffe

  An implementation of Deep Q-Network using Caffe

  Language:C++212118