Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning. - Bruno Gasperov; Fredi Saric; Stjepan Begusic; Zvonko Kostanjcar (MIPRO, 2020)

Market Making With Signals Through Deep Reinforcement Learning. - Bruno Gasperov; Zvonko Kostanjcar (IEEE Access, 2021)

Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model. - Bruno Gasperov; Zvonko Kostanjcar (IEEE Control. Syst. Lett., 2022)

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. - Bruno Gasperov; Marko Durasevic (GECCO, 2023)

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (GECCO Companion, 2023)

Deep Reinforcement Learning for Robust Goal-Based Wealth Management. - Tessa Bauman; Bruno Gasperov; Stjepan Begusic; Zvonko Kostanjcar (AIAI (1), 2023)

Leveraging More of Biology in Evolutionary Reinforcement Learning. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (EvoApplications@EvoStar, 2024)

A New Angle: On Evolving Rotation Symmetric Boolean Functions. - Claude Carlet; Marko Durasevic; Bruno Gasperov; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (EvoApplications@EvoStar, 2024)

Finding Near-Optimal Portfolios with Quality-Diversity. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (EvoApplications@EvoStar, 2024)

Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching. - Tessa Bauman; Sven Goluza; Bruno Gasperov; Zvonko Kostanjcar (NLDL, 2024)

ECF: A C＋＋ framework for evolutionary computation. - Domagoj Jakobovic; Marko Durasevic; Stjepan Picek; Bruno Gasperov (SoftwareX, 2024)

Climbing the Tower of Meta-mutations - The Role of Higher-Order Mutations. - Bruno Gasperov; Branko Ster (EvoApplications (2), 2025)