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Found 4 papers, 1 papers with code
Automatic Testing With Reusable Adversarial Agents
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.
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning
We present a novel approach for generating plausible verbal interactions between virtual human-like agents and user avatars in shared virtual environments.
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
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).
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
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.
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