A Strong Duality Result for Cooperative Decentralized Constrained POMDPs

A Strong Duality Result for Cooperative Decentralized Constrained POMDPs
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DOI:
10.1109/cdc49753.2023.10383989
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发表时间:
2023-12
期刊:
2023 62nd IEEE Conference on Decision and Control (CDC)
影响因子:
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通讯作者:
Nouman Khan;Vijay G. Subramanian
Nouman Khan;Vijay G. Subramanian
中科院分区:
其他
文献类型:
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作者:
Nouman Khan;Vijay G. Subramanian

文献摘要

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研究了信息不对称条件下的合作分散约束POMDPs问题。利用锡永关于正无穷函数的Minimax定理的推广和测度弱收敛的结果,证明了当观测值位于可数空间中,行动选自有限空间,直接约束成本有界,直接目标成本下有界时,无穷水平期望总折扣成本的强对偶性和鞍点的存在性.
The work studies cooperative decentralized constrained POMDPs with asymmetric information. Using an extension of Sion's Minimax theorem for functions with positive infinity and results on weak-convergence of measures, strong duality and existence of a saddle point are established for the setting of infinite-horizon expected total discounted costs when the observations lie in a countable space, the actions are chosen from a finite space, the immediate constraint costs are bounded, and the immediate objective cost is bounded from below.