stephlee12 Goto Github PK

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

ausgrid-solar-data

Personal analysis of the "Solar home electricity" dataset from Ausgrid

bidding-optimization-benchmark

bilevel_mip_cpo

c51-categorical-dqn-pytorch

A clean and robust Pytorch implementation of Categorical DQN (C51)

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

city-learn-2022

AI Crowd Competition implementing various Deep Reinforcement Learning methods for energy management control

citylearn

Official reinforcement learning environment for demand response and load shaping

citylearn-1.3.5

citylearn 1.3.5

constrained-sac-ppo

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-pytorch

Contrastive Predictive Coding for Automatic Speaker Verification

controllabledl

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-emda

A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.

cv

This resume can be used as LaTeX template for academic purposes or job applications.

data-structure

deep-marl-toolkit

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

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

deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand

deep-time-series

Deep learning PyTorch library for time series forecasting

deepreinforcementlearning-applied-to-atari

dnn-opf

drl-baselines

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

energy_management_system

energy management system for the microgrid

feasible-actor-critic

Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

gnnpapers

Must-read papers on graph neural networks (GNN)

hierarchical-actor-critic-hac-pytorch

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments