1 citations · 1 across the 3 of their papers we have counts for
10 papers
Generalized Bidding Games: Where Bidding and Stochastic Games Meet
Ali Asadi, Thomas A. Henzinger, Ehsan Kafshdar Goharshady +2
Two-player games on graphs are a classical framework for analyzing strategic decision making. In turn-based games, two players move a token along the edges of the graph, and the ri…
Decoupled Planning for Multiple Omega-Regular Objectives
Guy Avni, Thomas A. Henzinger, Kaushik Mallik +2
We study the problem of generating paths on a graph that satisfy a collection of Ï-regular objectives. We propose a decoupled framework in which each objective is assigned to an i…
Auction-Based Online Policy Adaptation for Evolving Objectives
Guruprerana Shabadi, Kaushik Mallik
We consider multi-objective reinforcement learning problems where objectives come from an identical family -- such as the class of reachability objectives -- and may appear or disa…
Monitoring of Static Fairness
Thomas A. Henzinger, Mahyar Karimi, Konstantin Kueffner +1
Machine-learned systems are in widespread use for making decisions about humans, and it is important that they are fair, i.e., not biased against individuals based on sensitive att…
Monitoring Robustness and Individual Fairness
Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner +2
Input-output robustness appears in various different forms in the literature, such as robustness of AI models to adversarial or semantic perturbations and individual fairness of AI…
Efficient Dynamic Shielding for Parametric Safety Specifications
Davide Corsi, Kaushik Mallik, Andoni Rodriguez +1
Shielding has emerged as a promising approach for ensuring safety of AI-controlled autonomous systems. The algorithmic goal is to compute a shield, which is a runtime safety enforc…