Investigating exploration techniques for ACS in discretized real-valued environments
Author:
Affiliation:
1. Wroclaw University of Science and Technology, Wroclaw, Poland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377929.3398079
Reference29 articles.
1. Limits in Long Path Learning with XCS
2. The stability of long action chains in XCS
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1. Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems;Lecture Notes in Computer Science;2022
2. Internalizing Knowledge for Anticipatory Classifier Systems in Discretized Real-Valued Environments;IEEE Access;2022
3. An overview of LCS research from 2020 to 2021;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07
4. Anticipatory Classifier System with Average Reward Criterion in Discretized Multi-Step Environments;Applied Sciences;2021-01-25
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