On inverse reinforcement learning and dynamic discrete choice for predicting path choices
Route choice modeling is a well-studied topic of research with implications, ...
Predicting User Features from Social Media data
With the increase in both number of social media platforms and amount of data...
Exploring the effects of different reward function on TSCA learning process
While there has been extensive research into the applications of reinforcemen...
Probabilistic Graphical Models Final Project
Electroencephalography (EEG) is a widely used method to capture the electrica...
The Intersection of Reinforcement Learning and Traffic Light Scheduling
The goal of this project is to create a policy learner to optimize the traffi...
Mathematical Competition in Modeling
As per the instructions of the 2018 Mathematical Competition in Modeling (MCM...
Probability Theory and Bayesian Networks
A Bayesian Network (BN) is a probabilistic model which can be used to model b...
Summer Research 2017
We tested two techniques that can assist in the automatic extraction and anal...
Sea Lion Enumeration
We trained a convolution neural network on examples of both sea lions of all ...
Summer Research 2016
The ultimate goal of this study is to gain a better understanding of the affe...