Decoupling a Resource Constraint through Fictitious Play in Multi-agent Sequential Decision Making
Frits de Nijs (TU Delft - Algorithmics)
Matthijs Spaan (TU Delft - Algorithmics)
Mathijs de Weerdt (TU Delft - Algorithmics)
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Abstract
When multiple independent agents use a limited shared resource, they need to coordinate and thereby their planning problems become coupled. We present a resource assignment strategy that decouples agents using marginal utility cost, allowing them to plan individually. We show that agents converge to an expected cost curve by keeping a history of plans, inspired by fictitious play. This performs slightly better than a state-of-the-art best-response approach and is significantly more scalable than a preallocation Mixed-Integer Linear Programming formulation, providing a good trade-off between performance and quality.
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