Image de couverture de livre

Optimally Auditing Adversarial Agents

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Das, Sanmay, Yu, Fang-Yi, Zhang, Yuang
Format:	Preprint
Publié:	2026
Sujets:	Computer Science and Game Theory Artificial Intelligence Computers and Society 68T05, 91A10 I.2.11; J.4
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Fragility of AI Agent Collusion
par: Keppo, Jussi, et autres
Publié: (2026)

What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control
par: Lekeas, Paraskevas V., et autres
Publié: (2026)

Correlated optimin
par: Seven, Mehmet Mars
Publié: (2026)

Game Intelligence: Theory and Computation
par: Seven, Mehmet Mars
Publié: (2023)

The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games
par: Papadopoulos, Nikolaos Al., et autres
Publié: (2026)

ABIDES-MARL: A Multi-Agent Reinforcement Learning Environment for Endogenous Price Formation and Execution in a Limit Order Book
par: Cheridito, Patrick, et autres
Publié: (2025)

CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
par: Tewolde, Emanuel, et autres
Publié: (2026)

A Theory of Multilevel Interactive Equilibrium in NeuroAI
par: Chen, Zhe Sage, et autres
Publié: (2026)

Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees
par: Guo, Dongxin, et autres
Publié: (2026)

Super-Nash Performance
par: Ismail, Mehmet S.
Publié: (2019)

Reimagining Peer Review Process Through Multi-Agent Mechanism Design
par: Farooq, Ahmad, et autres
Publié: (2026)

Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders
par: Yang, Xuwei, et autres
Publié: (2025)

More at Stake: How Payoff and Language Shape LLM Agent Strategies in Cooperation Dilemmas
par: Huynh, Trung-Kiet, et autres
Publié: (2026)

Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies
par: Papadopoulos, Nikolaos Al.
Publié: (2026)

Multi-agent reinforcement learning in the all-or-nothing public goods game on networks
par: Meylahn, Benedikt Valentin
Publié: (2024)

Fair Division in a Variable Setting
par: Chandramouleeswaran, Harish, et autres
Publié: (2024)

The Axiom of Consent: Friction Dynamics in Multi-Agent Coordination
par: Farzulla, Murad
Publié: (2026)

Majoritarian Assignment Rules
par: Brandt, Felix, et autres
Publié: (2026)

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
par: Sharma, Alakh, et autres
Publié: (2025)

Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
par: Tewolde, Emanuel, et autres
Publié: (2024)

Strategic Coercion Within Alliances: The Greenland Sovereignty Game as an AI Stress Test
par: Adl, Rommin, et autres
Publié: (2026)

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
par: Liu, Larkin, et autres
Publié: (2025)

How are AI agents used? Evidence from 177,000 MCP tools
par: Stein, Merlin
Publié: (2026)

The Value of Recall in Extensive-Form Games
par: Berker, Ratip Emin, et autres
Publié: (2024)

AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems
par: Liu, Hung Ming
Publié: (2025)

Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI
par: Arafat, Jahidul, et autres
Publié: (2025)

Beyond the Sum: Unlocking AI Agents Potential Through Market Forces
par: Sanabria, Jordi Montes, et autres
Publié: (2024)

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment
par: Kierans, Aidan, et autres
Publié: (2024)

Signal or Noise in Multi-Agent LLM-based Stock Recommendations?
par: Fatouros, George, et autres
Publié: (2026)

Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
par: Ito, Shinji, et autres
Publié: (2025)

Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
par: Hosseini, Hadi, et autres
Publié: (2025)

Improved Approximation Ratio for Strategyproof Facility Location on a Cycle
par: Rogowski, Krzysztof, et autres
Publié: (2025)

Axiomatizations of a simple Condorcet voting method for Final Four and Final Five elections
par: Holliday, Wesley H.
Publié: (2025)

Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
par: Pant, Vik, et autres
Publié: (2026)

Computing Game Symmetries and Equilibria That Respect Them
par: Tewolde, Emanuel, et autres
Publié: (2025)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
par: Akella, Aditya
Publié: (2025)

Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
par: Rodriguez, Roland
Publié: (2026)

Stable Voting and the Splitting of Cycles
par: Holliday, Wesley H., et autres
Publié: (2025)

Evaluating Large Language Models in a Complex Hidden Role Game
par: Bauer, Niklas
Publié: (2026)

SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do
par: Dhodapkar, Aditya, et autres
Publié: (2026)