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The Common Information (CI) approach provides a systematic way to transform amulti-agent stochastic control problem to a single-agent partially observedMarkov decision problem (POMDP) called the coordinator's POMDP. However, such aPOMDP can be hard to solve due to its extraordinarily large action space. Wepropose a new algorithm for multi-agent stochastic control problems, calledcoordinator's heuristic search value iteration (CHSVI), that combines the CIapproach and point-based POMDP algorithms for large action spaces. Wedemonstrate the algorithm through optimally solving several benchmark problems.

A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach