The paper classifies LTC problems in Dec-POMDPs by information structures, identifies conditions preserving quasi-classical structure after sharing, and gives provable quasi-polynomial planning and learning algorithms for compliant cases.
Learning in observable POMDPs, without computa- tionally intractable oracles,
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Principled Learning-to-Communicate with Quasi-Classical Information Structures
The paper classifies LTC problems in Dec-POMDPs by information structures, identifies conditions preserving quasi-classical structure after sharing, and gives provable quasi-polynomial planning and learning algorithms for compliant cases.