GTITLGSTMLNov 3, 2022

$2 \times 2$ Zero-Sum Games with Commitments and Noisy Observations

arXiv:2211.01703v318 citationsh-index: 25
Originality Synthesis-oriented
AI Analysis

This work addresses game theory problems for scenarios with noisy observations and commitments, but it is incremental as it extends known results to specific conditions.

The paper tackles the problem of analyzing $2\times2$ zero-sum games where a leader commits to a strategy, announces an action observed noisily by a follower, and the follower responds based on this information, proving that an equilibrium always exists and bounding the payoff between Nash and Stackelberg equilibria.

In this paper, $2\times2$ zero-sum games are studied under the following assumptions: $(1)$ One of the players (the leader) commits to choose its actions by sampling a given probability measure (strategy); $(2)$ The leader announces its action, which is observed by its opponent (the follower) through a binary channel; and $(3)$ the follower chooses its strategy based on the knowledge of the leader's strategy and the noisy observation of the leader's action. Under these conditions, the equilibrium is shown to always exist. Interestingly, even subject to noise, observing the actions of the leader is shown to be either beneficial or immaterial for the follower. More specifically, the payoff at the equilibrium of this game is upper bounded by the payoff at the Stackelberg equilibrium (SE) in pure strategies; and lower bounded by the payoff at the Nash equilibrium, which is equivalent to the SE in mixed strategies.Finally, necessary and sufficient conditions for observing the payoff at equilibrium to be equal to its lower bound are presented. Sufficient conditions for the payoff at equilibrium to be equal to its upper bound are also presented.

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