the majority of patients with glioblastoma multiforme (gbm) suffer dismal outcomes. adopting a broader, multi-mechanistic, multi-agent approach targeting gbm using readily available and fairly benign agents in combination with standard therapy may improve outcomes. such agents include fluoxetine, fenofibrate, cimetidine, citrulline, valacyclovir, 1,3 1-6 beta glucan, and tadalafil, among others...

This paper presents a multi agent system for the job shop scheduling problems. The proposed system consists of initial scheduling agent, search agents, and schedule management agent. In initial scheduling agent, a modified Shifting Bottleneck is proposed. That is, an effective heuristic approach and can generate a good solution in a low computational effort. In search agents, a hybrid search ap...

Conventional multi-agent path planners typically determine a that optimizes single objective, such as length. Many applications, however, may require multiple objectives, say time-to-completion and fuel use, to be simultaneously optimized in the planning process. Often, these criteria not readily compared sometimes lie competition with each other. Simply applying standard multi-objective search...

A challenging problem in robotics is how to control multiple robots cooperatively and safely real-world applications. Yet, developing multi-robot methods from the perspective of safe multi-agent reinforcement learning (MARL) has merely been studied. To fill this gap, study, we investigate MARL for on cooperative tasks, which each individual robot not only meet its own safety constraints while m...