Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning

• Main Authors: TENG, Teck-Hou, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• 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
• Institution: Singapore Management University

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...