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Joint Communication-Control Strategy Optimization with Partially Nested Information Structures: The Linear-Quadratic Case
You 2026-08-13
Haoyi YouKaiqing Zhang
In this paper, we formalize a joint communication-control strategy optimization (JCCO) problem in multi-agent linear systems with quadratic costs, under the common-information-based (CIB) framework from decentralized stochastic control. For computational tractability, we focus on such JCCO problems with partially nested (PN) information structures (ISs). In particular, with a baseline communicatio
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Key Contributions
- In this paper, we formalize a joint communication-control strategy optimization (JCCO) problem in multi-agent linear systems with quadratic costs, under the common-information-based (CIB) framework from decentralized stochastic control.
- For computational tractability, we focus on such JCCO problems with partially nested (PN) information structures (ISs).
- In particular, with a baseline communicatio
Research Themes
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