Human-machine collaborative optimization via apprenticeship scheduling
Coordinating agents to complete a set of tasks with intercoupled temporal and resource constraints is computationally challenging, yet human domain experts can solve these difficult scheduling problems using paradigms learned through years of apprenticeship. A process for manually codifying this dom...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
AI Access Foundation,
2020-06-19T14:12:47Z.
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| Subjects: | |
| Online Access: | Get fulltext |