Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms
Author(s)
Zhao, Ying; Hemberg, Erik; Derbinsky, Nate; Mata, Gabino; O’Reilly, Una-May
Download3449726.3463172.pdf (804.0Kb)
Publisher Policy
Publisher Policy
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Terms of use
Metadata
Show full item recordDate issued
2021-07-07Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryPublisher
ACM|2021 Genetic and Evolutionary Computation Conference Companion
Citation
Zhao, Ying, Hemberg, Erik, Derbinsky, Nate, Mata, Gabino and O’Reilly, Una-May. 2021. "Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms."
Version: Final published version
ISBN
978-1-4503-8351-6