no code implementations • 15 Aug 2024 • Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
It is thus crucial in cyber-physical recommendation systems to operate with an interaction model that is aware of such user behavior, lest the user abandon the recommendations altogether.
no code implementations • 8 Aug 2024 • Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu
In this work, we model the performance loss as a simple linear function of task context similarity.
no code implementations • 30 Jun 2024 • Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs-Campbell
Our policies are trained in simulation with our novel instruction adherence driver model, and evaluated in simulation and through a user study (N=16) to capture the sentiments of human drivers.
no code implementations • 26 Jan 2024 • Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu
To the best of the authors knowledge, this is the first work to analyze the regret of an integrated expert algorithm with k-Means clustering.
no code implementations • 27 Nov 2023 • Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu
We introduce Temporal Transfer Learning (TTL) algorithms to select source tasks for zero-shot transfer, systematically leveraging the temporal structure to solve the full range of tasks.
no code implementations • 7 Nov 2023 • M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu
Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks.
no code implementations • 1 Aug 2023 • Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs-Campbell
To this end, we develop a co-operative advisory system based on PC policies with a novel driver trait conditioned Personalized Residual Policy, PeRP.