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eess.SY2025
Falsification-driven reinforcement learning for maritime motion planning
Marlon Müller, Florian Finkeldei, Hanna Krasowski +2
Compliance with maritime traffic rules is essential for the safe operation of autonomous vessels, yet training reinforcement learning (RL) agents to adhere to them is challenging.…
eess.SY2025
Trajectory Planning with Signal Temporal Logic Costs using Deterministic Path Integral Optimization
Patrick Halder, Hannes Homburger, Lothar Kiltz +2
Formulating the intended behavior of a dynamic system can be challenging. Signal temporal logic (STL) is frequently used for this purpose due to its suitability in formalizing comp…