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most cited2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following

3 citations · 6 across the 7 of their papers we have counts for

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cs.RO2023

Two-step dynamic obstacle avoidance

Fabian Hart, Martin Waltz, Ostap Okhrin

Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step arch…

eess.SY2023★ 3 cited

2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following

Martin Waltz, Niklas Paulig, Ostap Okhrin

This paper proposes a realistic modularized framework for controlling autonomous surface vehicles (ASVs) on inland waterways (IWs) based on deep reinforcement learning (DRL). The f…