Abstract: Given the significant uncertainty of distributed generations (DGs) in the transmission and distribution (T&D) system, we propose a novel Modified Belief Markov Decision Process-based ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing inf ...
Abstract: In this work, we consider multiagent reinforcement learning for constrained Markov decision processes and develop a consensus-based primal–dual method to solve the problem, which is ...
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