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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Main Authors: | , |
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Format: | text |
Language: | English |
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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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