Scalable greedy algorithms for task/resource constrained multi-agent stochastic planning

• Main Authors: AGRAWAL, Pritee, Pradeep VARAKANTHAM, YEOH, William
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Markov Decision Problems; Multi-Agent Planning; Reasoning with Uncertainty; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3600; https://ink.library.smu.edu.sg/context/sis_research/article/4601/viewcontent/Scalable_greedy_algorithms_for_task.pdf
• Institution: Singapore Management University

Synergistic interactions between task/resource allocation and stochastic planning exist in many environments such as transportation and logistics, UAV task assignment and disaster rescue. Existing research in exploiting these synergistic interactions between the two problems have either only conside...