Information Compression in Dynamic Games
Dengwang Tang, Vijay Subramanian, Demosthenis Teneketzis

TL;DR
This paper introduces two novel information state concepts, MSI and USI, to simplify strategies in dynamic games, ensuring equilibrium existence and payoff equivalence with full information strategies.
Contribution
It proposes strategy-independent information compression maps, demonstrating their impact on equilibrium existence and payoff profiles in dynamic games.
Findings
MSI-based strategies ensure equilibrium existence.
USI-based strategies preserve payoff sets of full information strategies.
Counterexample shows strategy-dependent compression maps may fail to preserve equilibria.
Abstract
One of the reasons why stochastic dynamic games with an underlying dynamic system are challenging is since strategic players have access to enormous amount of information which leads to the use of extremely complex strategies at equilibrium. One approach to resolve this challenge is to simplify players' strategies by identifying appropriate compression of information maps so that the players can make decisions solely based on the compressed version of information, called the information state. For finite dynamic games with asymmetric information, inspired by the notion of information state for single-agent control problems, we propose two notions of information states, namely mutually sufficient information (MSI) and unilaterally sufficient information (USI). Both these information states are obtained with information compression maps independent of the strategy profile. We show that…
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Taxonomy
TopicsAdvanced Research in Systems and Signal Processing · Game Theory and Applications · Guidance and Control Systems
