Role of Externally Provided Randomness in Stochastic Teams and Zero-sum Team Games
Rahul Meshram

TL;DR
This paper investigates how externally provided private and common randomness influence stochastic team decision problems and zero-sum team games, revealing conditions under which such randomness benefits teams or has no effect.
Contribution
It clarifies the role of environment-dependent versus independent randomness in team decision-making and extends analysis to LQG and discrete zero-sum games with new insights.
Findings
Environment-dependent randomness benefits teams by reducing expected costs.
Randomness independent of environment does not benefit teams if a saddle point exists.
More informed teams benefit when randomness depends on environment in saddle point scenarios.
Abstract
Stochastic team decision problem is extensively studied in literature and the existence of optimal solution is obtained in recent literature. The value of information in statistical problem and decision theory is classical problem. Much of earlier does not qualitatively describe role of externally provided private and common randomness in stochastic team problem and team vs team zero sum game. In this paper, we study the role of extrenally provided private or common randomness in stochastic team decision. We make observation that the randomness independent of environment does not benefit either team but randomness dependent on environment benefit teams and decreases the expected cost function. We also studied LQG team game with special information structure on private or common randomness. We extend these study to problem team vs team zero sum game. We show that if a game admits…
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Taxonomy
TopicsGame Theory and Applications · Economic theories and models · Game Theory and Voting Systems
