zheeqinpin's Stars
pathak22/noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
NeuronDance/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
aralab-unr/ExperienceRanking
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
tmoer/alphazero_singleplayer
Single player Alpha Zero implementation
FelixOpolka/Single-Player-MCTS
🌳 Python implementation of single-player Monte-Carlo Tree Search.
annadeichler/tree-rl-adaptive
AlphaZero algorithm compatible with single-player deterministic environments with adaptive return normalization, optionally adaptive root return variance based MCTS iterations.
sergeim19/SinglePlayerMCTS
Single Player Monte Carlo Tree Search implementation
hrpan/tetris_mcts
MCTS project for Tetris
junxiaosong/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
datawhalechina/pumpkin-book
《机器学习》（西瓜书）公式详解
google-deepmind/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
asappresearch/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
titu1994/keras-SRU
Implementation of Simple Recurrent Unit in Keras
mravanelli/theano-kaldi-rnn
THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
weiyx15/short_term_load_forecasting
short term load forecasting for course project of POWER SYSTEM PREDICTION
lucaseustaquio/ams-2013-2014-solar-energy
cmusjtuliuyuan/RainBow
RainBow, Tensorflow
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
ChengTsang/PPO-clip-and-PPO-penalty-on-Atari-Domain
Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty
Awesome-Interview/Awesome-Interview
Collection of awesome interview references.
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
RPC2/DRL_paper_summary
Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.
williamFalcon/DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
pemami4911/deep-rl
Collection of Deep Reinforcement Learning algorithms
zhiweiuk/sparse-autoencoder-tensorflow
This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.
rajarsheem/libsdae-autoencoder-tensorflow
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
georgeiswang/Sparse-Autoencoder-Tensorflow
Tensorflow codes for training sparse autoencoder
siddharth-agrawal/Sparse-Autoencoder