5 papers
UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
Michal Koren, Or Peretz, Tai Dinh +1
Sequential decisions in volatile, high-stakes settings require more than maximizing expected return; they require principled uncertainty management. This paper presents the Uncerta…
Quantum-Amplified M/G/1/K Simulation: A Comparator-Controlled Framework for Arbitrary Service Distributions
Or Peretz, Michal Koren, Nir Perel
Finite-capacity single-server queues with general service-time distributions form the backbone of numerous real-world systems, yet classical simulation of performance metrics such…
Quantum Markov Chains: Hub-Pruned Estimation for Fashion Recommenders
Or Peretz, Tai Dinh, Michal Koren
We investigate whether shallow quantum circuits can accurately reproduce the short-horizon dynamics of discrete-time Markov chains derived from fashion electronic-commerce recommen…
Data clustering: a fundamental method in data science and management
Tai Dinh, Wong Hauchi, Daniil Lisik +4
This paper explores the critical role of data clustering in data science, emphasizing its methodologies, tools, and diverse applications. Traditional techniques, such as partitiona…
Quantum simulation of single-server Markovian queues: A dynamic amplification approach
Michal Koren, Or Peretz
Quantum computing is revolutionizing various fields, including operations research and queueing theory. This study presents a quantum method for simulating single-server Markovian…