Using Domain Knowledge in Coevolution and Reinforcement Learning to Simulate a Logistics Enterprise
Name
3520304.3528990.pdf
Size
686.46 KB
Format
Adobe PDF
Checksum (MD5)
b3f54597a6deaa8f64146efaaf1b40f5
Author(s)
Zhao, Ying
Hemberg, Erik
Derbinsky, Nate
Mata, Gabino
O'Reilly, Una-May
Date Issued
July 9, 2022
Publisher
ACM|Genetic and Evolutionary Computation Conference Companion
Citation
Zhao, Ying, Hemberg, Erik, Derbinsky, Nate, Mata, Gabino and O'Reilly, Una-May. 2022. "Using Domain Knowledge in Coevolution and Reinforcement Learning to Simulate a Logistics Enterprise."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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/10.1145/3520304.3528990
