Name: Jinhao Li
Type: User
Company: Monash University
Bio: Ph.D. student at Monash University. My research interests mainly lie in AI+Energy.
Location: Melbourne, Australia
Blog: https://stephlee12.github.io
Jinhao Li's Projects
Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
A beautiful, simple, clean, and responsive Jekyll theme for academics
Personal analysis of the "Solar home electricity" dataset from Ausgrid
A clean and robust Pytorch implementation of Categorical DQN (C51)
Non-official implement of Paper๏ผCBAM: Convolutional Block Attention Module
AI Crowd Competition implementing various Deep Reinforcement Learning methods for energy management control
Official reinforcement learning environment for demand response and load shaping
citylearn 1.3.5
A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagrangian) and Proximal Policy Optimization Lagrangian
Contrastive Predictive Coding for Automatic Speaker Verification
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.
This resume can be used as LaTeX template for academic purposes or job applications.
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep learning PyTorch library for time series forecasting
Task-based end-to-end model learning in stochastic optimization
energy management system for the microgrid
Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
Must-read papers on graph neural networks (GNN)
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments