activity
20192026
most citedTolling for Constraint Satisfaction in Markov Decision Process Congestion Games

3 citations · 6 across the 12 of their papers we have counts for

collaborators

13 papers

eess.SY2026

Characterizing Driver Interactions with Autonomous Vehicles via Response Maps

Dave Broaddus, Rachel DiPirro, Chishang +4

Understanding human responses to autonomous vehicle (AV) behaviors is essential for socially aware interaction, which is crucial for socially compatible navigation in shared traffi…

eess.SY2025

Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback

Rachel DiPirro, Rosalyn Devonport, Dan Calderone +3

Understanding driver interactions is critical to designing autonomous vehicles to interoperate safely with human-driven cars. We consider the impact of these interactions on the po…

math.OC2024

Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance

Skye Mceowen, Daniel J. Calderone, Aman Tiwary +4

This paper presents auto-tuned primal-dual successive convexification (Auto-SCvx), an algorithm designed to reliably achieve dynamically-feasible trajectory solutions for constrain…

math.OC2024

The Impact of Social Value Orientation on Nash Equilibria of Two Player Quadratic Games

Dan Calderone, Meeko Oishi

We consider two player quadratic games in a cooperative framework known as social value orientation, motivated by the need to account for complex interactions between humans and au…

cs.GT2023

Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games

Daniel J. Calderone, Benjamin J. Chasnov, Samuel A. Burden +1

Leveraging tools from the study of linear fractional transformations and algebraic Riccati equations, a local characterization of consistent conjectural variations equilibrium is g…

cs.MA2022

Congestion-aware path coordination game with Markov decision process dynamics

Sarah H. Q. Li, Dan Calderone, Behcet Acikmese

Inspired by the path coordination problem arising from robo-taxis, warehouse management, and mixed-vehicle routing problems, we model a group of heterogeneous players responding to…