3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia +1
Generation IV (Gen-IV) nuclear power plants are envisioned to replace the current reactor fleet, bringing improvements in performance, safety, reliability, and sustainability. Howe…