A Surprise Triggered Adaptive and Reactive (STAR) Framework for Online Adaptation in Non-stationary Environments

We consider the task of developing an adaptive autonomous agent that can interact with non-stationary environments. Traditional learning approaches such as Reinforcement Learning assume stationary characteristics over the course of the problem, and are therefore unable to learn the dynamically chang...

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Bibliographic Details
Main Authors: NGUYEN, Truong-Huy Dinh, Tze-Yun LEONG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/2993
https://ink.library.smu.edu.sg/context/sis_research/article/3993/viewcontent/Leong_2009_STAR.pdf
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Institution: Singapore Management University
Language: English
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