Publications

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing

Published in Proceedings of International Conference on Machine Learning (ICML-2024), 2024

[OpenReview] [PMLR] [Code and Data] [ShortVideo]

Recommended citation: Sivagnanam, A., Pettet, A., Lee, H., Mukhopadhyay, A., Dubey, A., & Laszka, A. (2024). Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing. In Proceedings of the 41 st International Conference on Machine Learning, (ICML 2024)

The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox

Published in Proceedings of the ACM Web Conference (WWW-23), 2023

[Paper] [Appendix]

Recommended citation: Atefi, S., Sivagnanam, A., Ayman, A., Grossklags, J., & Laszka, A. (2023, May). The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox. In Proceedings of the ACM Web Conference, (pp 2209–2219), ACM

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit

Published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), 2022

[Paper] [Appendix] [Code and Data] [Official Video]

Recommended citation: Sivagnanam, A., Kadir, SU., Mukhopadhyay, A., Pugliese, P., Dubey, A., Samaranayake, S., & Laszka, A. (2022, July) "Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (pp. 3933-3939)

Data-Driven Prediction and Optimization of Energy Use for Transit Fleets of Electric and ICE Vehicles

Published in ACM Transactions on Internet Technology, 2021

[Paper]

Recommended citation: Ayman, A., Sivagnanam, A., Wilbur, M., Pugliese, P., Dubey, A., & Laszka, A. (2021). Data-driven prediction and optimization of energy use for transit fleets of electric and ICE vehicles. ACM Transactions on Internet Technology (TOIT), 22(1), 1-29.

Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service

Published in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21), 2021

[Paper] [Appendix] [Code and Data]

Recommended citation: Sivagnanam, A., Ayman, A., Wilbur, M., Pugliese, P., Dubey, A., & Laszka, A. (2021, May). Minimizing energy use of mixed-fleet public transit for fixed-route service. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 14930-14938).

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