193 citations · 244 across the 22 of their papers we have counts for
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cs.AI2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
Safety in goal directed Reinforcement Learning (RL) settings has typically been handled through constraints over trajectories and have demonstrated good performance in primarily sh…
cs.AI2022
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
Thanh H. Nguyen, Arunesh Sinha
This paper studies the problem of multi-step manipulative attacks in Stackelberg security games, in which a clever attacker attempts to orchestrate its attacks over multiple time s…
cs.AI2015★ 12 cited
Learning Adversary Behavior in Security Games: A PAC Model Perspective
Arunesh Sinha, Debarun Kar, Milind Tambe
Recent applications of Stackelberg Security Games (SSG), from wildlife crime to urban crime, have employed machine learning tools to learn and predict adversary behavior using avai…