Nature

Adaptive distributed stochastic deep reinforcement learning control for voltage and frequency restoration in islanded AC microgrids with communication noise and delay

This paper proposes an adaptive secondary control strategy for islanded AC microgrids (MGs) using Distributed Stochastic Deep Reinforcement Learning (DSDRL), targeting reliable frequency and voltage ...
Nature

Reinforcement learning in artificial and biological systems

Biological and artificial agents must achieve goals to survive and be useful. This goal-directed or hedonistic behaviour is the foundation of reinforcement learning (RL) 1, which is learning to choose ...