Ing. Marko Ruman
Ph.D student

Biography
Publication list
Education
Present Jun 2018 Ph.D. - Mathematical Engineering State Doctoral Exam with honors Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague, Czech Republic
Jun 2018 Sep 2016 MSc. - Mathematical Engineering GPA: 3.97 Magna cum laude Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague, Czech Republic Aug
2016 Sep 2013 BSc. - Mathematical Engineering GPA: 3.55 Magna cum laude Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague, Czech Republic
Work Experience
Present Jul 2015 Research Assistant - Institute of Information Theory and Automation, Czech Academy of Sciences
Co-authored 7 papers on reinforcement learning, learning of dynamic stochastic environments and modelling human decision making as Markov decision processes
Presented own research at conferences NIPS, ICANN and ICCAIRO
Developed a Python library implementing the researched universally approximating model of dynamic environments called Mixture Ratios
Recently developed a novel method for knowledge transfer in deep reinforcement learning
Participated as a team member of two international and four Czech research projects
Served as a member of the Organising Committee of COST 2019 GAMENET Conference Research interests
Knowledge transfer in deep reinforcement learning Bayesian learning of dynamic stochastic environments
Markov decision processes
Jan 2020 Apr 2018 Co-Founder - Optimifica
Developed a custom ML model for predicting customers’ interest in specific products used by retail companies
Achieved 40% success rate when recommending 5 products for a new basket for retail companies with low-frequency customer base (2-3 visits per year on average)
Increased margin of retail companies by 5% by utilising micro-targeted product recommendations produced by the custom ML model Apr 2018 Oct 2004 ML and web development - Freelancer
Coded my first website when I was 12, worked on many machine learning and web development projects since then
Journal articles
- Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function, IEEE Access 12 1 (2024), p. 177204-177218 Download Download DOI: 10.1109/ACCESS.2024.3497589 [2024] :
- Mixture ratio modeling of dynamic systems, International Journal of Adaptive Control and Signal Processing 35 5 (2021), p. 660-675 Download Download DOI: 10.1002/acs.3219 [2021] :
Other publications
- Dynamic Mixture Ratio Model, Proceedings of the 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), p. 92-99, The Institute of Electrical and Electronics Engineers, Inc. (2020) Download DOI: 10.1109/ICCAIRO47923.2019.00023 [2020] :
- Experimental Performance of Deliberation-Aware Responder in Multi-Proposer Ultimatum Game, Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers, p. 51-60, Eds: Guy Tatiana Valentine, Kárný Miroslav, Rios-Insua D., Wolpert D. H. Download [2017] :
- Deliberation-aware Responder in Multi-Proposer Ultimatum Game, Artificial Neural Networks and Machine Learning – ICANN 2016, p. 230-237 Download DOI: 10.1007/978-3-319-44778-0_27 [2016] :
- Adaptive Proposer for Ultimatum Game, Artificial Neural Networks and Machine Learning – ICANN 2016, p. 330-338 Download DOI: 10.1007/978-3-319-44778-0_39 [2016] :