Bruno Gasperov

According to our database, Bruno Gasperov authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

ECF: A C＋＋ framework for evolutionary computation.

Domagoj Jakobovic, Marko Durasevic, Stjepan Picek, Bruno Gasperov

SoftwareX, 2024

Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching.

Tessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar

Proceedings of the Northern Lights Deep Learning Conference, 2024

Finding Near-Optimal Portfolios with Quality-Diversity.

Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

A New Angle: On Evolving Rotation Symmetric Boolean Functions.

Claude Carlet, Marko Durasevic, Bruno Gasperov, Domagoj Jakobovic, Luca Mariot, Stjepan Picek

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Leveraging More of Biology in Evolutionary Reinforcement Learning.

Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Deep Reinforcement Learning for Robust Goal-Based Wealth Management.

Tessa Bauman, Bruno Gasperov, Stjepan Begusic, Zvonko Kostanjcar

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties.

Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic

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

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search.

Bruno Gasperov, Marko Durasevic

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model.

Bruno Gasperov, Zvonko Kostanjcar

IEEE Control. Syst. Lett., 2022

2021

Market Making With Signals Through Deep Reinforcement Learning.

Bruno Gasperov, Zvonko Kostanjcar

IEEE Access, 2021

2020

Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning.

Bruno Gasperov, Fredi Saric, Stjepan Begusic, Zvonko Kostanjcar

Proceedings of the 43rd International Convention on Information, 2020