Publications

Fabian Hart, Ostap Okhrin, und Martin Treiber. Vessel-following model for inland waterways based on deep reinforcement learning. Ocean engineering, (281)Elsevier Science B.V., August 2023. [PUMA: topic_engineering FIS_scads imported]

Jing Zou, Martin Odening, und Ostap Okhrin. Data-driven determination of plant growth stages for improved weather index insurance design. Agricultural Finance Review, Emerald Group Publishing, Bingley, 2024. [PUMA: topic_engineering FIS_scads Generalized Machine Plant Temporal Weather additive basis growth index insurance learning, model, risk, stages,]

Mihir Mandar Kulkarni, Ankit Anil Chaudhari, Karthik K. Srinivasan, Bhargava Rama Chilukuri, Martin Treiber, und Ostap Okhrin. Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic. 17.05.2024. [PUMA: topic_engineering FIS_scads physics.soc-ph]

Dianzhao Li, Paul Auerbach, und Ostap Okhrin. Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development. 09.04.2024. [PUMA: topic_engineering FIS_scads cs.AI cs.RO,]

Martin Waltz, und Ostap Okhrin. Addressing maximization bias in reinforcement learning with two-sample testing. Artificial intelligence, (336)Elsevier Science B.V., November 2024. [PUMA: topic_engineering Estimation FIS_scads Maximum Q-learning, Reinforcement Two-sample bias, expected learning, testing value,]