7 citations · 43 across the 20 of their papers we have counts for
8 papers · 1 filter
Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks
Nishanth Venkatesh, Aditya Dave, Ioannis Faros +1
In this paper, we investigate the control of a cyber-physical system (CPS) while accounting for its vulnerability to external attacks. We formulate a constrained stochastic problem…
A Q-learning Approach for Adherence-Aware Recommendations
Ioannis Faros, Aditya Dave, Andreas A. Malikopoulos
In many real-world scenarios involving high-stakes and safety implications, a human decision-maker (HDM) may receive recommendations from an artificial intelligence while holding t…
Routing in Mixed Transportation Systems for Mobility Equity
Heeseung Bang, Aditya Dave, Andreas A. Malikopoulos
This letter proposes a routing framework in mixed transportation systems for improving mobility equity. We present a strategic routing game that governs interactions between compli…
Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles
Filippos N. Tzortzoglou, Dionysios Theodosis, Aditya Dave +1
Connected and automated vehicles (CAVs) provide the most intriguing opportunity for enabling users to monitor transportation network conditions and make better decisions for improv…
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging
Nishanth Venkatesh, Viet-Anh Le, Aditya Dave +1
Highway merging scenarios featuring mixed traffic conditions pose significant modeling and control challenges for connected and automated vehicles (CAVs) interacting with incoming…
Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon
Aditya Dave, Ioannis Faros, Nishanth Venkatesh +1
Safety-critical cyber-physical systems require control strategies whose worst-case performance is robust against adversarial disturbances and modeling uncertainties. In this paper,…
A Study of an Atomic Mobility Game With Uncertainty Under Prospect Theory
Ioannis Vasileios Chremos, Heeseung Bang, Aditya Dave +2
In this paper, we present a study of a mobility game with uncertainty in the decision-making of travelers and incorporate prospect theory to model travel behavior. We formulate a m…
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos
In this paper, we investigate discrete-time decision-making problems in uncertain systems with partially observed states. We consider a non-stochastic model, where uncontrolled dis…