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ATAL
2006
Springer

Resource allocation among agents with preferences induced by factored MDPs

11 years 5 months ago
Resource allocation among agents with preferences induced by factored MDPs
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not linearly decomposable. Furthermore, the problem of determining the value of a resource bundle can be a significant computational challenge in itself, such as for an agent operating in a stochastic environment, where the value of a resource bundle is the expected payoff of the optimal policy realizable given these resources. Recent work has shown that the structure in agents' preferences induced by stochastic policy-optimization problems (modeled as MDPs) can be exploited to solve the resource-allocation and the policyoptimization problems simultaneously, leading to drastic (often exponential) improvements in computational efficiency. However, previous work used a flat MDP model that scales very poorly. In this work, we present and empirically evaluate a resource-allocation mechanism that achieves much bette...
Dmitri A. Dolgov, Edmund H. Durfee
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where ATAL
Authors Dmitri A. Dolgov, Edmund H. Durfee
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