Fast reinforcement learning under uncertainties with self-organizing neural networks

Using feedback signals from the environment, a reinforcement learning (RL) system typically discovers action policies that recommend actions effective to the states based on a Q-value function. However, uncertainties over the estimation of the Q-values can delay the convergence of RL. For fast RL co...

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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 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/6797
https://ink.library.smu.edu.sg/context/sis_research/article/7800/viewcontent/Fast_RL___WI_IAT_2015.pdf
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Institution: Singapore Management University
Language: English