Ostap Okhrin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Kolmogorov Smirnov

Reinforcement Learning

Spatio Temporal Patterns

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

Publications

Fabian Hart, Ostap Okhrin
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. Neurocomputing 568 (2024)
Ostap Okhrin, Alexander Ristig
Penalized estimation of hierarchical Archimedean copula. J. Multivar. Anal. 201 (2024)
Dianzhao Li, Paul Auerbach, Ostap Okhrin
Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development. CoRR (2024)
Christian Genest, Ostap Okhrin, Taras Bodnar
Copula modeling from Abe Sklar to the present day. J. Multivar. Anal. 201 (2024)
Christian Genest, Ostap Okhrin, Taras Bodnar
Preface to the Special Issue "Copula modeling from Abe Sklar to the present day". J. Multivar. Anal. 201 (2024)
Martin Waltz, Ostap Okhrin, Michael Schultz
Self-organized arrival system for urban air mobility. CoRR (2024)
Martin Waltz, Ostap Okhrin
Spatial-temporal recurrent reinforcement learning for autonomous ships. Neural Networks 165 (2023)
Eckhard Liebscher, Ostap Okhrin
Semiparametric estimation of the high-dimensional elliptical distribution. J. Multivar. Anal. 195 (2023)
Martin Waltz, Niklas Paulig, Ostap Okhrin
2-Level Reinforcement Learning for Ships on Inland Waterways. CoRR (2023)
Dianzhao Li, Ostap Okhrin
Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. ITSC (2023)
Dianzhao Li, Ostap Okhrin
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer. CoRR (2023)
Fabian Hart, Martin Waltz, Ostap Okhrin
Two-step dynamic obstacle avoidance. CoRR (2023)
Niklas Paulig, Ostap Okhrin
Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning. CoRR (2023)
Dianzhao Li, Ostap Okhrin
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer in Autonomous Driving. CoRR (2023)
Martin Waltz, Ostap Okhrin
Two-Sample Testing in Reinforcement Learning. CoRR (2022)
Fabian Hart, Ostap Okhrin, Martin Treiber
Vessel-following model for inland waterways based on deep reinforcement learning. CoRR (2022)
Fabian Hart, Ostap Okhrin
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. CoRR (2022)
Martin Waltz, Ostap Okhrin
Spatial-temporal recurrent reinforcement learning for autonomous ships. CoRR (2022)
Fabian Hart, Martin Waltz, Ostap Okhrin
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning. CoRR (2021)
Ostap Okhrin, Simon Trimborn, Martin Waltz
gofCopula: Goodness-of-Fit Tests for Copulae. R J. 13 (1) (2021)
Fabian Hart, Ostap Okhrin, Martin Treiber
Formulation and validation of a car-following model based on deep reinforcement learning. CoRR (2021)
Jan Gorecki, Marius Hofert, Ostap Okhrin
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation. Comput. Stat. Data Anal. 155 (2021)
Dianzhao Li, Ostap Okhrin
DDPG car-following model with real-world human driving experience in CARLA. CoRR (2021)
Taras Bodnar, Ostap Okhrin, Nestor Parolya
Optimal shrinkage estimator for high-dimensional mean vector. J. Multivar. Anal. 170 (2019)
Barbara Choros-Tomczyk, Wolfgang Karl Härdle, Ostap Okhrin
A semiparametric factor model for CDO surfaces dynamics. J. Multivar. Anal. 146 (2016)
Matthias R. Fengler, Ostap Okhrin
Managing risk with a realized copula parameter. Comput. Stat. Data Anal. 100 (2016)
Xiaofeng Cao, Ostap Okhrin, Martin Odening, Matthias Ritter
Modelling spatio-temporal variability of temperature. Comput. Stat. 30 (3) (2015)
Ostap Okhrin, Stefan Trück
Editorial to the special issue on Applicable semiparametrics of computational statistics. Comput. Stat. 30 (3) (2015)
Weining Wang, Ostap Okhrin, Wolfgang K. Härdle
HMM and HAC. SMPS (2012)