Sriram Gopalakrishnan, Ph.D.

Sriram Gopalakrishnan, Ph.D.

AI Research Lead at J.P. Morgan Chase | Sequential-Decision Making Problems, Human-AI Interaction, & Generative AI

Assignment and Prioritization Of Tasks With Uncertain Durations For Satisfying Makespans In Decentralized Execution

Published in Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022), 2022

Recommended citation: Gopalakrishnan, S., & Borrajo, D. (2022). Assignment and Prioritization Of Tasks With Uncertain Durations For Satisfying Makespans In Decentralized Execution. In Proceedings of the 32nd International Conference on Automated Planning and Scheduling. https://ojs.aaai.org/index.php/ICAPS/article/view/19793

Abstract

We address multi-agent task allocation in enterprise workflows where task durations are stochastic and human agents incur cognitive context-switching overheads. We provide tractable heuristic search algorithms ensuring high makespan satisfaction probabilities.

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Recommended citation: Gopalakrishnan, S., & Borrajo, D. (2022). Assignment and Prioritization Of Tasks With Uncertain Durations For Satisfying Makespans In Decentralized Execution. In Proceedings of the 32nd International Conference on Automated Planning and Scheduling.