Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing

no code implementations • 14 Oct 2024 • Jonathan DeCastro, Andrew Silva, Deepak Gopinath, Emily Sumner, Thomas M. Balch, Laporsha Dees, Guy Rosman

Tight coordination is required for effective human-robot teams in domains involving fast dynamics and tactical decisions, such as multi-car racing.

Car Racing

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving

no code implementations • 20 Jan 2023 • Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best

We find that our approach generates driving styles consistent with end-user styles (p<. 001) and participants rate our approach as more similar to their level of aggressiveness (p=. 002).

Autonomous Driving

Understanding and Shifting Preferences for Battery Electric Vehicles

no code implementations • 9 Feb 2022 • Nikos Arechiga, Francine Chen, Rumen Iliev, Emily Sumner, Scott Carter, Alex Filipowicz, Nayeli Bravo, Monica Van, Kate Glazko, Kalani Murakami, Laurent Denoue, Candice Hogan, Katharine Sieck, Charlene Wu, Kent Lyons

In this work, we focus on methods for personalizing interventions based on an individual's demographics to shift the preferences of consumers to be more positive towards Battery Electric Vehicles (BEVs).

Reinforcement Learning (RL)

Machine learning reveals how personalized climate communication can both succeed and backfire

no code implementations • 10 Sep 2021 • Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner

Different advertising messages work for different people.

BIG-bench Machine Learning