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Peter Gjøl Jensen is a researcher at Aalborg University specializing in reinforcement learning and decision-making optimization. His research interests include Explainable Causally Enforced Reinforcement Learning, for which he currently leads a PhD project. Over the years, he has contributed to various publications, focusing on tools and methodologies related to software and systems engineering, particularly in the areas of Petri nets and verification processes. Jensen has collaborated on numerous research projects, actively publishing findings and datasets that enhance reproducibility and accessibility within the field. His work has been recognized for its innovative approaches to artificial intelligence in energy management systems. He has been involved in interdisciplinary collaborations, contributing to publications and acting as a project participant in various initiatives aimed at improving decision-making processes in complex systems.
Aalborg University • Aalborg, Denmark
Teaching and research in computer science with a focus on reinforcement learning and decision-making.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.