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Hierarchical reinforcement learning and decision making

โœ Scribed by Matthew Michael Botvinick


Book ID
119221214
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
406 KB
Volume
22
Category
Article
ISSN
0959-4388

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โœ Carsten Homburg ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 475 KB

This paper proposes a hierarchical procedure for solving decision problems with multiple objectives. The procedure consists of two levels, a top-and a base-level. The main idea is that the top-level only provides general preference information. Taking this information into account the base-level the