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Budhitama Subagdja
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One of the fundamental challenges in reinforcement learning is to setup a proper balance between ex-ploration and exploitation to obtain the maximum cummulative reward in the long run. Most proto-cols for exploration bound the overall values to a convergent level of performance. If new knowledge is inserted or the environment is suddenly changed, the issue becomes more intricate as the explo-ration must compromise the pre-existing knowledge. This paper presents a type of multi-channel adaptive resonance ...
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Nanyang Technological University, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, 2016
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Artikel Jurnal Universitas Indonesia Library
