Master's Theses & Technical Reports - Alexandre Bayen
5th Year M.S.
Demystifying Decision-Making of Deep RL through Validated Language Explanations
Ashwin Dara [2025]
Trajectory Prediction and Simulation for Improved Control of Connected Autonomous Vehicles
Avikam Chauhan [2024]
CANClassify: Automated Decoding and Labeling of CAN Bus Signals
Paul Ngo [2022]
Hierarchical Actor-Critic Exploration with Synchronized, Adversarial, & Knowledge-Based Actions
Ayush Jain [2022]
Software-in-the-loop Testing for Autonomous Vehicles With Docker
Sarah Bhaskaran [2022]
Empirical Evaluation of Adversarial Surprise
Samyak Parajuli [2021]
Arterial Traffic Flow Prediction: A Deep Learning Approach with Embedded Signal Phasing Information
Victor Chan [2020]
On Training Robust Policies for Flow Smoothing
Kanaad Parvate [2020]
M.S.
Deep Reinforcement Learning for Autonomous Vehicles: Improving Traffic Flow in Mixed-Autonomy
Nathan Lichtle [2024]
Robust deep-reinforcement learning policies for mixed-autonomy traffic
Kathy Jang [2021]
Capturing the impact of navigational app usage on road traffic from a gametheory point of view
Theophile Cabannes [2019]
Daily Data Assimilation of a Hydrologic Model Using the Ensemble Kalman Filter
Sami Andrew Malek [2019]
A Generative Model of Urban Activities from Cellular Data
Mogeng Yin [2017]
An Early Exploration of Causality Analysis for Irregularly Sampled Time Series via the Frequency Domain
Francois Belletti [2016]
Applications of Machine Learning to Support Dementia Care through Commercially Available Off-the-Shelf Sensing
George Netscher [2016]
Imputing a Variational Inequality Function or a Convex Objective Function: a Robust Approach
Jerome Thai [2016]