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A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing

Ren, Xiaoxing et al.
arXiv (All) · Papers
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machine-learningoptimization-and-controlsystems-and-control
We study decentralized partially observable team decision problems with low-rank latent dynamics and unknown system models. The proposed framework combines team-theoretic equivalence with low-rank model representations to address cooperative decision-making in partially observable Markov decision pr
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