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Artificial Intelligence (AI) has shown strong potential in supporting clinical decision-making through Clinical Decision Support Systems (CDSSs). However, ...

Abstract: This paper studies the problem of aggregative optimization in open multi-agent systems (OMAS), where agents are allowed to join and leave the system in a free manner during the ...

Abstract: This paper proposes a dynamic multi-agent reinforcement learning model DMARL-RAP. The algorithm constructs a three-dimensional state space, integrates historical resource data (time series ...