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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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Strength or Accuracy: Credit Assignment in Learning Classifier Systems, Tim Kovacs
- Language
- Released
- 2012
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Strength or Accuracy: Credit Assignment in Learning Classifier Systems
- Language
- English
- Authors
- Tim Kovacs
- Publisher
- Springer London
- Released
- 2012
- Format
- Paperback
- Pages
- 328
- ISBN13
- 9781447110583
- Description
- 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.