Abstract: In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent ...
Abstract: Accurately estimating the crowdedness inside a fixed-route bus is essential for improving transportation system efficiency and enhancing passenger comfort. While methods using cameras or ...
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