Abstract: The multi-armed bandit framework is a wellestablished learning paradigm that enables sequential decisionmaking under uncertainty. This framework has been widely applied in various domains, ...
Abstract: Since traditional traffic flow assignment methods are difficult to apply to real scenarios with large-scale road networks and uncertain traffic demand, this paper proposed a real-time ...
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