Oleg Szehr

According to our database, Oleg Szehr authored at least 13 papers between 2013 and 2026.

Collaborative distances:

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

2026

Automatic Prompt Optimization for Dataset-Level Feature Discovery.

Adrian Cosma, Oleg Szehr, David Kletz, Alessandro Antonucci, Olivier Pelletier

CoRR, January, 2026

Deep Reinforcement Learning in Wargaming.

Giacomo Del Rio, Oleg Szehr, Alessandro Antonucci, Marco Pierbattista, Matthias Sommer, Michael Rüegsegger

J. Aerosp. Inf. Syst., 2026

2025

Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero.

Matteo Maggiolo, Giuseppe Nuti, Miroslav Strupl, Oleg Szehr

CoRR, October, 2025

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning.

Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger

CoRR, May, 2025

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers.

Miroslav Strupl, Oleg Szehr, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

CoRR, February, 2025

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning.

Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2023

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.

Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

On the asymptotic behavior of Jacobi polynomials with first varying parameter.

Oleg Szehr, Rachid Zarouf

J. Approx. Theory, 2022

2021

Hedging of Financial Derivative Contracts via Monte Carlo Tree Search.

Oleg Szehr

CoRR, 2021

2020

Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning.

Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr

CoRR, 2020

2014

A Decoupling Approach to Classical Data Transmission Over Quantum Channels.

Frédéric Dupuis, Oleg Szehr, Marco Tomamichel

IEEE Trans. Inf. Theory, 2014

Variations on classical and quantum extractors.

Mario Berta, Omar Fawzi, Volkher B. Scholz, Oleg Szehr

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

On quantum Renyi entropies: a new definition and some properties.

Martin Müller-Lennert, Frédéric Dupuis, Oleg Szehr, Serge Fehr, Marco Tomamichel

CoRR, 2013