Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning
Though not a fundamental pre-requisite to efficient machine learning, insertion of domain knowledge into adaptive virtual agent is nonetheless known to improve learning efficiency and reduce model complexity. Conventionally, domain knowledge is inserted prior to learning. Despite being effective, su...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2013
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6651 https://ink.library.smu.edu.sg/context/sis_research/article/7654/viewcontent/Delayed_Insertion_and_Rule_Effect_Moderation_of_Domain_Knowledge___SSCI_2013.pdf |
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| Institution: | Singapore Management University |
| Language: | English |