Task Rescheduling using Relational Reinforcement Learning
Generating and representing knowledge about heuristics for repair-based scheduling is a keyissue in any rescheduling strategy to deal with unforeseen events and disturbances. Resorting to a feature-based propositional representation of schedule states is very inefficient and generalization to unsee...
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| Wydane w: | Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Asociación Española para la Inteligencia Artificial
2012
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| Hasła przedmiotowe: | |
| Dostęp online: | https://www.redalyc.org/articulo.oa?id=92524944006 |
| Etykiety: |
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