Showing cs.AIShow all
3 papers · 1 filter
cs.AI2025
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
Kayla Boggess, Sarit Kraus, Lu Feng
Multi-Agent Reinforcement Learning (MARL) has gained significant interest in recent years, enabling sequential decision-making across multiple agents in various domains. However, m…
cs.AI2025
Strategic Communication under Threat: Learning Information Trade-offs in Pursuit-Evasion Games
Valerio La Gatta, Dolev Mutzari, Sarit Kraus +1
Adversarial environments require agents to navigate a key strategic trade-off: acquiring information enhances situational awareness, but may simultaneously expose them to threats.…
cs.AI2024
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
We study a Bayesian persuasion problem with externalities. In this model, a principal sends signals to inform multiple agents about the state of the world. Simultaneously, due to t…