Learning Task Allocation via Multi-level Policy Gradient Algorithm with Dynamic Learning Rate

Abstract

Task allocation is the process of assigning tasks to appropriate resources. To achieve scalability, it is common to use a network of agents (also called mediators) that handles task allocation. This work proposes a novel multi-level policy gradient algorithm to solve the local decision problem at each mediator agent. The higher level policy stochastically… (More)

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