Learning action models with minimal observability
Aineto, D., Jiménez Celorrio, S., & Onaindia, E. (2019). Learning action models with minimal observability.
- Type
- Unclassified
- Intellectual base
- Unclassified
- Year
- 2019
- DOI
- 10.1016/j.artint.2019.05.003
- Link
- https://doi.org/10.1016/j.artint.2019.05.003
Cited by
1 citation across 1 artifact.
Domain-specific
- Automated planning and scheduling
- … and goals, preconditions effects and costs, time and resource constraints, uncertainty and observability, plan or policy output, optimization criterion, validation and replanning rule are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..
Verification
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Registry ID ref:3a04409ecd30 · see in the full table