hlhang9527

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

BasicTimeSeries

BasicTS

An Open Source Standard Time Series Forecasting Benchmark.

carl

Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings

CityLearn

Official reinforcement learning environment for demand response and load shaping

citylearn-2020-pikapika

CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team

CityLearn_garage

CityLearnをgarageで使えるようにするための改造

learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

Recent-Safe-RL-Papers-with-Code

This repo lists most recent paper with their code in safe RL, some of papers without available code is not included. Welcome to edit this list if more papers found.

safety-gym

Tools for accelerating safe exploration research.

hlhang9527/awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

hlhang9527/BasicTimeSeries

hlhang9527/BasicTS

An Open Source Standard Time Series Forecasting Benchmark.

hlhang9527/CityLearn

Official reinforcement learning environment for demand response and load shaping

hlhang9527/CityLearn_garage

CityLearnをgarageで使えるようにするための改造

hlhang9527/D2STGNN

Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

hlhang9527/Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

hlhang9527/DRL-Energy-Management

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

hlhang9527/gnn-powerflow

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework.

hlhang9527/GNNPapers

Must-read papers on graph neural networks (GNN)

hlhang9527/GNNPapersPowerNets

hlhang9527/mbrl-hvac

Model-based Reinforcement Learning for Building HVAC Control

hlhang9527/mbrl-lib

Library for Model Based RL

hlhang9527/MTGNN

hlhang9527/PTF_code

Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer

hlhang9527/pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

hlhang9527/pytorch_geometric

Graph Neural Network Library for PyTorch

hlhang9527/recovery-rl

Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

hlhang9527/recoveryrl

hlhang9527/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

hlhang9527/rl-building-control

A curated list of awesome projects applying reinforcement learning (RL) to building control.

hlhang9527/RLexample

Some basic examples of playing with RL

hlhang9527/safe_rl

hlhang9527/safety_rl

hlhang9527/StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

hlhang9527/STEP

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

hlhang9527/STID

Code for our CIKM'22 short paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

hlhang9527/Time-Series-Library

A Library for Advanced Deep Time Series Models.

hlhang9527/Trust-Region-CVaR

Official GitHub Repository for TRC:Trust Region Conditional Value at Risk for Safe Reinforcement Learning.

hlhang9527/WeatherGCNet

Spatiotemporal graph convolutional network for wind speed prediction.