4 papers
Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation
Phurinut Srisawad, Juergen Branke, Long Tran-Thanh
We study payoff manipulation in repeated multi-objective Stackelberg games, where a leader may strategically influence a follower's deterministic best response, e.g., by offering a…
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
Hanyang Wang, Juergen Branke, Matthias Poloczek
Many real-world black-box optimization problems have multiple conflicting objectives. Rather than attempting to approximate the entire set of Pareto-optimal solutions, interactive…
Bayesian Optimization of Bilevel Problems
Omer Ekmekcioglu, Nursen Aydin, Juergen Branke
Bilevel optimization, a hierarchical mathematical framework where one optimization problem is nested within another, has emerged as a powerful tool for modeling complex decision-ma…
Respecting the limit:Bayesian optimization with a bound on the optimal value
Hanyang Wang, Juergen Branke, Matthias Poloczek
In many real-world optimization problems, we have prior information about what objective function values are achievable. In this paper, we study the scenario that we have either ex…