Quantitative Reachability Stackelberg-Pareto Synthesis is NEXPTIME-Complete

08/18/2023
by   Thomas Brihaye, et al.
0

In this paper, we deepen the study of two-player Stackelberg games played on graphs in which Player 0 announces a strategy and Player 1, having several objectives, responds rationally by following plays providing him Pareto-optimal payoffs given the strategy of Player 0. The Stackelberg-Pareto synthesis problem, asking whether Player 0 can announce a strategy which satisfies his objective, whatever the rational response of Player 1, has been recently investigated for ω-regular objectives. We solve this problem for weighted graph games and quantitative reachability objectives such that Player 0 wants to reach his target set with a total cost less than some given upper bound. We show that it is NEXPTIME-complete, as for Boolean reachability objectives.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro