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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Bibliographic Details
Main Authors: TENG, Teck-Hou, TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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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
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