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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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