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Reward Delay Attacks on Deep Reinforcement Learning


Sep 08, 2022
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher Gill, Ning Zhang

* 20 pages, 9 figures, Conference on Decision and Game Theory for Security 

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Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum


Jun 21, 2022
Junlin Wu, Yevgeniy Vorobeychik

* ICML 2022 

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Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022


Mar 01, 2022
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan Wollaber


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Networked Restless Multi-Armed Bandits for Mobile Interventions


Jan 28, 2022
Han-Ching Ou, Christoph Siebenbrunner, Jackson Killian, Meredith B Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe


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Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents


Dec 06, 2021
Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik


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PROVES: Establishing Image Provenance using Semantic Signatures


Oct 21, 2021
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik


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Computing an Optimal Pitching Strategy in a Baseball At-Bat


Oct 08, 2021
Connor Douglas, Everett Witt, Mia Bendy, Yevgeniy Vorobeychik


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Learning Generative Deception Strategies in Combinatorial Masking Games


Sep 23, 2021
Junlin Wu, Charles Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik


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CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing


Jun 17, 2021
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

* 25 pages, 7 figures 

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Altruism Design in Networked Public Goods Games


May 02, 2021
Sixie Yu, David Kempe, Yevgeniy Vorobeychik

* To appear in IJCAI 2021 

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