winton1996 Goto Github PK
Name: Wentao Huang
Type: User
Company: HKUST
Bio: 2015-2019, SYSU (Bachelor); 2019-2023 , HKUST (PhD); 2023-current, HKUST (postdoctoral fellow)
Location: kwloon Hongkong
Name: Wentao Huang
Type: User
Company: HKUST
Bio: 2015-2019, SYSU (Bachelor); 2019-2023 , HKUST (PhD); 2023-current, HKUST (postdoctoral fellow)
Location: kwloon Hongkong
Solomon benchmark instances
SEU CS Artificial Intelligence Projects
Collect papers about graph
Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.
The Excel add-in for creating LaTeX tables
配合博客的一些示例程序,博客地址https://blog.csdn.net/zjgo007
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥
Python implementation of functional PCA - model
GNN综述阅读报告
Use of taxi GPS devices as pervasive resilience sensors.
My blogs and code for machine learning. http://cnblogs.com/pinard
A small example of how to use MATSim as a library.
Synthetic population pipeline code for eqasim
Solve some classical regression problem by MM algorithm
A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking
Despite the ubiquity of transportation data, statistical inference methods alone are not able to explain mechanistic relations within a network. Inverse optimization methods that capture network structure fulfill this gap, but they are designed to take observations of the same model to learn the parameters of that model. New inverse optimization models and supporting algorithms are proposed to learn the parameters of heterogeneous travelers’ route optimization such that the value of shared network resources (e.g. link capacity dual prices) can be inferred. The inferred values are internally consistent with each agent’s optimization program. We prove that the method can obtain unique dual prices for a network shared by these agents, in polynomial time. Three experiments are conducted. The first one, conducted on a 4-node network, verifies the methodology to obtain heterogeneous link cost parameters even when a mixed logit model cannot provide meaningful results. The second is a parameter recovery test on the Nguyen-Dupuis network that shows that unique latent link capacity dual prices can be inferred using the proposed method. The last test on the same network demonstrates how a monitoring system in an online learning environment can be designed using this method.
Source code of the Neuro-dynamic programming approach for optimal control of Macroscopic fundamental diagram (MFD) system)
Simple Reinforcement learning tutorials
大数据看共享汽车——GoFun篇
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The PyTorch version of STGCN.
Transportation Networks for Research
Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"
Wentao's personal website
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.