Ryan Bahlous-Boldi - Publications

Publications

Published under Ryan Bahlous-Boldi and Ryan Boldi

* = equal contribution | Highlighted papers represent key contributions

	Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully GECCO 2025, 2025 PDF TL;DR: We propose a new class of quality-diversity algorithms that are simply genetic algorithms with fitness augmentations.
	Pareto Optimal Learning from Preferences with Hidden Context Ryan Bahlous-Boldi, Li Ding, Lee Spector, and Scott Niekum RLC 2025 & Pluralistic Alignment Workshop @ NeurIPS 2024, 2024 PDF TL;DR: We frame reward function inference from diverse groups of people as a multi-objective optimization problem.
	Solving Deceptive Problems Without Explicit Diversity Maintenance Ryan Boldi, Li Ding, Lee Spector Agent Learning in Open Endedness @ NeurIPS 2023 & GECCO '24 Companion, 2024 PDF / DOI TL;DR: We present an approach that uses lexicase selection to solve deceptive problems by optimizing a series of defined objectives, implicitly maintaining population diversity.
	Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector Evolutionary Computation Journal - MIT Press, 2024 PDF / DOI TL;DR: We develop methods to identify the most productive training cases for lexicase selection, improving computational efficiency while maintaining solution quality.