Bruno Gasperov

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	All	Since 2018
Citations	53	53
h-index	3	3
i10-index	2	2

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Zvonko KostanjcarAssociate Professor, University of Zagreb, Faculty of Electrical Engineering and ComputingVerified email at fer.hr
Stjepan BegušićUniversity of Zagreb, Faculty of Electrical Engineering and ComputingVerified email at fer.hr
Petra Posedel ŠimovićAssistant Professor, University of Zagreb Faculty of AgricultureVerified email at agr.hr
Marko ĐurasevićAssistant professor, University of Zagreb, Faculty of Electrical Engineering and ComputingVerified email at fer.hr
Domagoj JakobovićFull professor, University of ZagrebVerified email at fer.hr
Tessa BaumanPhD student, University of ZagrebVerified email at fer.hr
Sven GolužaUniversity of Zagreb, Faculty of Electrical Engineering and ComputingVerified email at fer.hr
Luca MariotAssistant Professor of Computer Science, University of TwenteVerified email at utwente.nl
Stjepan PicekAssociate professor, Radboud University, The NetherlandsVerified email at computer.org
Claude CarletProfessor Emeritus, University of Paris 8; also member of the University of Bergen, NorwayVerified email at univ-paris8.fr

Bruno Gasperov

Other namesBruno Gašperov

Postdoctoral researcher, University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Verified email at fer.hr - Homepage

reinforcement learning evolutionary computation quantitative finance quality-diversity


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Market making with signals through deep reinforcement learning B Gašperov, Z Kostanjčar IEEE Access 9, 61611-61622, 2021	32	2021
Deep reinforcement learning for market making under a hawkes process-based limit order book model B Gašperov, Z Kostanjčar IEEE Control Systems Letters 6, 2485-2490, 2022	10	2022
Reinforcement learning approaches to optimal market making B Gašperov, S Begušić, P Posedel Šimović, Z Kostanjčar Mathematics 9 (21), 2689, 2021	7	2021
Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning B Gašperov, F Šarić, S Begušić, Z Kostanjčar 2020 43rd International Convention on Information, Communication and …, 2020	3	2020
Deep Reinforcement Learning for Robust Goal-Based Wealth Management T Bauman, B Gašperov, S Begušić, Z Kostanjčar IFIP International Conference on Artificial Intelligence Applications and …, 2023	1	2023
A New Angle: On Evolving Rotation Symmetric Boolean Functions C Carlet, M Ðurasevic, B Gašperov, D Jakobovic, L Mariot, S Picek arXiv preprint arXiv:2311.11881, 2023		2023
Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching T Bauman, S Goluža, B Gasperov, Z Kostanjcar Northern Lights Deep Learning Conference 2024, 2023		2023
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search B Gašperov, M Đurasević arXiv preprint arXiv:2306.09849, 2023		2023
A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties B Gašperov, M Đurasević, D Jakobović arXiv preprint arXiv:2306.09190, 2023		2023
Deep reinforcement learning for market making with time-varying order arrival intensities B Gašperov University of Zagreb. Faculty of Electrical Engineering and Computing …, 2022		2022
Prediction of Cashflow Timing and Patterns in International Bank Accounts B Gašperov, S Begušić, Z Kostanjčar, O Aghzinnay STAges de REcherche BEI-EIB final report, 2021		2021
Reinforcement Learning Approaches to Optimal Market Making. Mathematics 2021, 9, 2689 B Gašperov, S Begušic, P Posedel Šimovic, Z Kostanjcar s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021		2021
Signaling in generalized Spence two-job market models and its effect on social welfare B Gasperov Wirtschaftsuniversität Wien (Vienna University of Economics and Business), 2016		2016

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