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    dr. sc. Bruno Gašperov

    Vanjski suradnik, Zavod za elektroničke sustave i obradbu informacija

    Funkcija: Zavodski suradnik

    Leveraging More of Biology in Evolutionary Reinforcement Learning

    Gašperov, Bruno ; Đurasević, Marko ; Jakobović, Domagoj
    izvorni znanstveni rad, 2024.

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

    Bauman, Tessa; Goluža, Sven; Gašperov, Bruno; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2024.

    ECF: A C++ framework for evolutionary computation

    Jakobovic, Domagoj; Durasevic, Marko; Picek, Stjepan; Gasperov, Bruno
    izvorni znanstveni rad, 2024.
    SoftwareX

    Deep Reinforcement Learning for Robust Goal-Based Wealth Management

    Bauman, Tessa; Gašperov, Bruno; Begušić, Stjepan; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2023.

    Deep Reinforcement Learning for Robust Goal-Based Wealth Management

    Bauman, Tessa; Gašperov, Bruno; Begušić, Stjepan; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2023.

    On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search

    Gašperov, Bruno; Đurasević, Marko
    izvorni znanstveni rad, 2023.

    Finding Near-Optimal Portfolios with Quality-Diversity

    Gašperov, Bruno; Đurasević, Marko; Jakobovic, Domagoj
    izvorni znanstveni rad, 2023.

    A New Angle: On Evolving Rotation Symmetric Boolean Functions

    Carlet, Claude; Đurasević, Marko; Gasperov, Bruno; Jakobovic, Domagoj; Mariot, Luca; Picek, Stjepan
    izvorni znanstveni rad, 2023.

    A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

    Gašperov, Bruno; Đurasević, Marko; Jakobović, Domagoj
    izvorni znanstveni rad, 2023.

    Deep reinforcement learning for market making with time- varying order arrival intensities

    Gašperov, Bruno
    doktorski rad, 2022.

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

    Gašperov, Bruno ; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2022.
    IEEE control systems letters

    Reinforcement Learning Approaches to Optimal Market Making

    Gašperov, Bruno ; Begušić, Stjepan ; Posedel Šimović, Petra ; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2021.
    Mathematics

    Market Making With Signals Through Deep Reinforcement Learning

    Gašperov, Bruno ; Kostanjčar, Zvonko
    izvorni znanstveni rad, 2021.
    IEEE access

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

    Gašperov, Bruno ; Šarić, Fredi ; Begušić, Stjepan ; Kostanjčar, Zvonko
    ostalo, 2020.

    Gašperov, Bruno, and Zvonko Kostanjčar. "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model." IEEE Control Systems Letters (2022).

    Gašperov, Bruno, and Zvonko Kostanjčar. "Market Making With Signals Through Deep Reinforcement Learning." IEEE Access 9 (2021): 61611-61622.

    Gašperov, Bruno, et al. "Reinforcement Learning Approaches to Optimal Market Making." Mathematics 9.21 (2021): 2689.

    Gašperov, Bruno, et al. "Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning." 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2020.

    Životopis

    • Guest editor: Algorithms (Special Issue "Algorithms in Evolutionary Reinforcement Learning")

    • Reviewing experience: journals (Expert Systems with Applications, IEEE Access, PLOS One, Sustainability), conferences (IEEE Conference on Decision and Control)

    • Universidad Politécnica de Madrid - international experts external panel member (evaluation of PhD theses)

    Nastava

    Sveučilišni diplomski

    Kompetencije

    • Computational and artificial intelligence
      Machine learning Statistical learning Prediction methods Neural networks
    • Mathematics
      Optimization Probability Bayes methods Sampling methods Stochastic processes
    • Computational and artificial intelligence
      Machine learning Statistical learning Prediction methods Neural networks

    Profesionalni interesi i članstva

    SIGEVO, the ACM Special Interest Group on Genetic and Evolutionary Computation.