Ryan Bahlous-Boldi

According to our database, Ryan Bahlous-Boldi authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Vector Policy Optimization: Training for Diversity Improves Test-Time Search.

Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld, Akarsh Kumar, Mehul Damani, Sebastian Risi, Omar Khattab, Zhang-Wei Hong, Pulkit Agrawal

CoRR, May, 2026

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs.

Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha

CoRR, January, 2026

2025

One Size Fits None: Learning Distributions of Human Preferences.

Ryan Bahlous-Boldi

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity.

Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment.

Cooper Sigrist, Archimedes Li, Alice Zhang, Adam Lechowicz, Noman Bashir, Pichsinee Lertsaroj, Ryan Bahlous-Boldi, Mohammad Hajiesmaili

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

2024

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

Evol. Comput., 2024

Pareto-Optimal Learning from Preferences with Hidden Context.

Ryan Boldi, Li Ding, Lee Spector, Scott Niekum

CoRR, 2024

Improving Lexicase Selection with Informed Down-Sampling.

Martin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Generating Diverse Critics for Conditioned Policy Distillation.

Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis.

Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Solving Deceptive Problems Without Explicit Diversity Maintenance.

Ryan Boldi, Li Ding, Lee Spector

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance.

Ryan Boldi, Li Ding, Lee Spector

CoRR, 2023

Improving Recommendation System Serendipity Through Lexicase Selection.

Ryan Boldi, Aadam Lokhandwala, Edward Annatone, Yuval Schechter, Alexander Lavrenenko, Cooper Sigrist

CoRR, 2023

Analyzing the Interaction Between Down-Sampling and Selection.

Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini

CoRR, 2023

Particularity.

Lee Spector, Li Ding, Ryan Boldi

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance?

Ryan Boldi, Lee Spector

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Static Analysis of Informed Down-Samples.

Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

The Problem Solving Benefits of Down-sampling Vary by Selection Scheme.

Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection.

Ryan Boldi, Thomas Helmuth, Lee Spector

CoRR, 2022

Lexicase selection at scale.

Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Going faster and hence further with lexicase selection.

Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022