A Double Oracle algorithm is proposed to find approximate empirical equilibria to solve this intractably large Capture the Flag game, and it is empirically validated that observation manipulation can improve the defense's performance.
Abstract
We consider a multi-agent Capture the Flag (CtF) scenario in a graph-based environment, where a team of attackers seeks to reach designated flag vertices while a defending team attempts to intercept them. In our setting, both teams operate using decentralized heuristic policies. While the attacking team may choose its heuristic from a diverse library of policies, the defense is restricted to playing a single fixed policy. To overcome this limitation, a centralized defense oracle strategically restricts the portion of the graph visible to each of its agents in order to elicit a wider range of emergent behaviors from its fixed policy. We formalize this interaction as a two-player zero-sum game, where the attacker reasons over its library of heuristics and the defense reasons over the combinatorial space of visibility profiles. To solve this intractably large game, we propose a Double Oracle algorithm to find approximate empirical equilibria, and we empirically validate that observation manipulation can improve the defense's performance.
This paper analyzes the play that is generated when each agent follows a strategy that optimizes against an adversary, and considers the two known explicit constructions of optimal strategies.
Shaull Almagor, Guy Avni, Julian Ewaied· 0 citations
COLD is an auditable measurement methodology, an evaluation contract that fixes a public information boundary, downstream stack G, and finite legal team family before outcomes are generated, which exposes selection headroom without manufacturing a routing win.
Large language model agents deployed without a central controller are often assumed to require communication to coordinate their actions. We ask what remains possible without it: when independent instances of the same model cannot communicate, can they still reason about their counterparts well enough to exceed the sta...
Deborah Sinishaw, Qi-Le Zhu, Edwin Meriaux et al.· 2 citations
A novel technique to eliminate plays with suboptimal infixes is introduced, which enables focusing on a finite part of the infinite configuration graph in order to solve the game via approximation to continuous bidding games with overall complexity in EXP.
This framework exposes the gap between rewarded partial completion and realized cooperation by certifying what cooperation successful completion requires and using temporal cooperation graphs to reveal what policies exhibit.
Yannick Molinghen, Hugo Charels, Tom Lenaerts· 0 citations
Stochastic Reflective Memory Ascent (SRMA), which accepts a candidate memory only after a grounded evaluation risk strictly decreases, is introduced and provides confidence gating for stochastic evaluation and re-anchoring guarantees for piecewise-stationary environments.
Yi-Hang Chen, Yu-Xiang Chen, Yuxuan Huang et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.