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cs.LG2026
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…
cs.LG2024★ 1 cited
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
Nawazish Ali, Abdul Wahid, Rachael Shaw +1
Dairy farming consumes a significant amount of energy, making it an energy-intensive sector within agriculture. Integrating renewable energy generation into dairy farming could hel…