Anders Jonsson

Anders Jonsson is a full professor and head of the Artificial Intelligence and Machine Learning research group at Universitat Pompeu Fabra (UPF). He holds a Ph.D. in Computer Science from the University of Massachusetts Amherst (2005), supervised by Professor Andrew Barto. His research focuses on sequential decision problems, multi-agent systems, hierarchical planning, and reinforcement learning. Key interests include combining RL with automated planning, exploiting structural properties of decision problems, and analyzing computational complexity. His work bridges theoretical foundations and practical applications in wireless networks, medical diagnostics, and urban systems.

Jonsson’s research addresses challenges in decentralized spatial reuse in wireless networks, optimal power control for cell-free systems, and interpretable machine learning for clinical decision-making. His interdisciplinary approach integrates AI with telecommunications, environmental science, and healthcare.

He has contributed to conference and journal articles exploring topics such as bisimulation metrics, reward machine exploration, and hierarchical average-reward MDPs. His lab actively develops algorithms for efficient exploration, generalized planning, and real-world deployment of AI solutions.