VISER: A Tractable Solution Concept for Games with Information Asymmetry
Abstract
Many real-world games suffer from information asymmetry: one player is only aware of their own payoffs while the other player has the full game information. Examples include the critical domain of security games and adversarial multi-agent reinforcement learning. Information asymmetry renders traditional solution concepts such as Strong Stackelberg Equilibrium (SSE) and Robust-Optimization Equilibrium (ROE) inoperative. We propose a novel solution concept called VISER (Victim Is Secure, Exploiter best-Responds). VISER enables an external observer to predict the outcome of such games. In particular, for security applications, VISER allows the victim to better defend itself while characterizing the most damaging attacks available to the attacker. We show that each player's VISER strategy can be computed independently in polynomial time using linear programming (LP). We also extend VISER to its Markov-perfect counterpart for Markov games, which can be solved efficiently using a series of LPs.
- Publication:
-
arXiv e-prints
- Pub Date:
- July 2023
- DOI:
- 10.48550/arXiv.2307.09652
- arXiv:
- arXiv:2307.09652
- Bibcode:
- 2023arXiv230709652M
- Keywords:
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- Computer Science - Computer Science and Game Theory;
- Computer Science - Artificial Intelligence;
- Computer Science - Cryptography and Security;
- Computer Science - Multiagent Systems;
- Electrical Engineering and Systems Science - Systems and Control;
- 91A27 (Primary);
- 93E20 (Secondary);
- F.2.1;
- G.3;
- I.2.8
- E-Print:
- 17 pages, 6 figures