Derives closed-form solutions for KL-divergence belief merging and a visit-weighted variant, reducing complexity to O(N|S|) and outperforming standard methods in simulations with noisy sensors and long communication gaps.
Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement
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Robust Multi-Agent Target Tracking in Intermittent Communication Environments via Analytical Belief Merging
Derives closed-form solutions for KL-divergence belief merging and a visit-weighted variant, reducing complexity to O(N|S|) and outperforming standard methods in simulations with noisy sensors and long communication gaps.