Strength or Accuracy: Credit Assignment in Learning Classifier Systems

Autori

• Tim Kovacs

Parametri

Pagine

328pagine

Tempo di lettura

12ore

• Computer, IT, programmazione
• Scienze sociali

Maggiori informazioni sul libro

Classifier systems offer a unique solution to machine learning challenges through the automated creation of condition/action rules. The XCS system, introduced by Stewart Wilson in 1995, represents a significant advancement by calculating rule value based on accuracy rather than reward, distinguishing it from earlier strength-based systems. This approach enhances credit assignment, allowing for improved policy learning and generalization. As a Q-learning system, XCS aggregates states and actions to optimize action selection, marking a notable evolution in reinforcement learning methodologies.

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Lingua: Inglese

Pubblicato: 2012

(In brossura)