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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| Veröffentlicht in: | Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Asociación Española para la Inteligencia Artificial
2012
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| Schlagworte: | |
| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=92524944006 |
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