sallyqiansun Goto Github PK

botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

link-prediction

Representation learning for link prediction within social networks

magenta

Magenta: Music and Art Generation with Machine Intelligence

mtmsn

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning

multidirectional-traffic-model

navtl

network-eval

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

traffic-state-reconstruction-using-deep-cnn

We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed dynamics from timespace diagrams. We demonstrate this for a homogeneous road section using simulated vehicle trajectories and then validate it using real-world data from NGSIM. Our results show that with probe vehicle penetration levels as low as 5%, the proposed estimation method can provide a sound reconstruction of macroscopic traffic speeds and reproduce realistic shockwave patterns, implying applicability in a variety of traffic conditions. We further discuss the model’s reconstruction mechanisms and confirm its ability to differentiate various traffic behaviors such as congested and free-flow traffic states, transition dynamics, and shockwave propagation.

tscc2019

Traffic Signal Control Competition

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem