A person-by-person optimality based dynamic programming method for decentralized control with delayed sharing information patterns that separates private and common information states and generalizes classical POMDP properties.
Centralized versus decentral- ized optimization of distributed stochastic differential decision systems with different information structures-part I: A general theory
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Private and Common Information States in Decentralized Parallel Dynamic Programming for Delayed Sharing Patterns
A person-by-person optimality based dynamic programming method for decentralized control with delayed sharing information patterns that separates private and common information states and generalizes classical POMDP properties.