CORTEXA
← Browse

Karl Mason

3 papers indexed

arxivcs.LGcs.AI2026-07-14

Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination

Usman Haider, Karl Mason

Federated Reinforcement Learning (FedRL) enables coordination of distributed energy resources without sharing raw local data, but standard aggregation methods such as FedAvg do not account for system-level constraints, often leading to unsafe global behavior. In this work, we stu…

View free PDFSource page
arxivcs.CVcs.AI2026-07-14

Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery

Usman Haider, Fatima Khalid, Karl Mason

Farm site discovery from satellite imagery is a spatiotemporal candidate ranking problem because farm evidence is distributed across pasture, field boundaries, roads, buildings, and seasonal vegetation patterns. Direct farm labels are often incomplete, which makes fully supervise…

View free PDFSource page
arxivcs.AI2026-07-07

Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

Marcos Eduardo Cruz Victorio, Karl Mason

The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carbon emissions. However, researchers of distributed generation control are mainly focused on residential and commercial applications. To contribute to the effective…

View free PDFSource page