no code implementations • 30 Oct 2019 • Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy Deshmukh
We propose an interactive multi-agent framework where the system-under-design is modeled as an ego agent and its environment is modeled by a number of adversarial (ado) agents.
no code implementations • 8 Feb 2020 • Andrew Best, Sahil Narang, Dinesh Manocha
We present a novel approach for generating plausible verbal interactions between virtual human-like agents and user avatars in shared virtual environments.
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).
1 code implementation • 30 Oct 2023 • Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
By leveraging Parametric Weighted Signal Temporal Logic (PWSTL), we formulate the problem of safety-guaranteed preference learning based on pairwise comparisons and propose an approach to solve this learning problem.