Niklas Erdmann

Niklas Erdmann

PhD candidate, probabilistic forecasting & machine learning.

Reinforcement Learning for Pollution Detection in a Randomized, Sparse and Nonstationary Environment with an Autonomous Underwater Vehicle

Published in arXiv preprint arXiv:2510.26347, 2025

Abstract

Reinforcement learning for pollution detection with an autonomous underwater vehicle in sparse, nonstationary environments.

Best Paper Award, PhD educational component, University of Oslo.

Links: arXiv · Slides

Recommended citation: Zieglmeier, S., Erdmann, N., & Warakagoda, N. D. (2025). "Reinforcement Learning for Pollution Detection in a Randomized, Sparse and Nonstationary Environment with an Autonomous Underwater Vehicle." arXiv preprint arXiv:2510.26347.