Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms
Name
3449726.3463172.pdf
Size
804.1 KB
Format
Adobe PDF
Checksum (MD5)
8173f0e5471137750467d471b945ad29
Author(s)
Zhao, Ying
Hemberg, Erik
Derbinsky, Nate
Mata, Gabino
O’Reilly, Una-May
Date Issued
July 7, 2021
Publisher
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
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3449726.3463172
