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)

Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression

no code implementations • 7 Dec 2021 • Nikos Arechiga, Francine Chen, Yan-Ying Chen, Yanxia Zhang, Rumen Iliev, Heishiro Toyoda, Kent Lyons

We develop a deep neural network (MACSYMA) to address the symbolic regression problem as an end-to-end supervised learning problem.

regression Symbolic Regression