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eess.SY2026
Mission-critical spectrum sharing with decentralized Multi-Agent Reinforcement Learning
Dimitrios Pylorof, Imtiaz Nasim, Humberto E. Garcia +3
Motivated by emerging mission-critical applications and an increasingly congested spectrum, we develop a decentralized multi-agent reinforcement learning (MARL) model for dynamic s…
eess.SY2026
Adaptive control of pool-type research nuclear reactors: theory limits, pragmatic actuation constraints, and realized performance and adaptation
Dimitrios Pylorof, Linyu Lin
Adaptive control is attractive for nuclear reactors expected to operate predictably with extensive automation or bounded autonomy under dynamic electric and nonelectric demands, ev…
eess.SY2026
Closing the loop in learning with missing data
Dimitrios Pylorof, Humberto E. Garcia
What should a machine learning model learn when data is missing during training? We look at the learning process from a dynamical systems perspective, cast data missingness as a st…