Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms

Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms

Bibliographic Details
Main Authors: Zhao, Ying, Hemberg, Erik, Derbinsky, Nate, Mata, Gabino, O’Reilly, Una-May
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|2021 Genetic and Evolutionary Computation Conference Companion 2022
Online Access:https://hdl.handle.net/1721.1/145958
Description
Description not available.

Similar Items