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ATAL
2007
Springer

Commitment-driven distributed joint policy search

10 years 1 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we develop a hierarchical approach to solving a restricted set of decentralized MDPs. By forming commitments with other agents and modeling these concisely in their local MDPs, agents effectively, efficiently, and distributively formulate coordinated local policies. We introduce a novel construction that captures commitments as constraints on local policies and show how Linear Programming can be used to achieve local optimality subject to these constraints. In contrast to other commitment enforcement approaches, we show ours to be more robust in capturing the intended commitment semantics while maximizing local utility. We also describe a commitment-space heuristic search algorithm that can be used to approximate optimal joint policies. A preliminary empirical evaluation suggests that our approach yields faste...
Stefan J. Witwicki, Edmund H. Durfee
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ATAL
Authors Stefan J. Witwicki, Edmund H. Durfee
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