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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Main Authors: | TENG, Teck-Hou, TAN, Ah-hwee |
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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 |
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