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Ostap Okhrin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ostap Okhrin
13
papers ·
43
citations ·
21
h-index
Technische Universität Dresden
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Formulation and validation of a car-following model based on deep reinforcement learning
2021 · 20 citations
Self-organized free-flight arrival for urban air mobility
2024 · 11 citations
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
2022 · 3 citations
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
2023 · 3 citations
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning
2021 · 2 citations
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
2023 · 2 citations
Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing
2022 · 1 citations
Vessel-following model for inland waterways based on deep reinforcement learning
2022 · 1 citations
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator
2021
Spatial-temporal recurrent reinforcement learning for autonomous ships
2022
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
2023
Two-step dynamic obstacle avoidance
2023
Top co-authors
Martin Waltz
· 6
Fabian Hart
· 5
Dianzhao Li
· 3
Martin Treiber
· 2
Michael Schultz
· 1
Niklas Paulig
· 1
Topics
Safe RL
Model-Based RL
Value-Based
Multi-Agent
Policy Gradient
RLHF & Alignment
Exploration