Takayuki Kohri

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Reinforcement learning is a technique to learn suitable action policies that maximize utility, via the clue of reinforcement signals: reward or punishment. Q-learning, a widely used reinforcement learning method, has been analyzed in much research on autonomous agents. However, as the size of the problem space increases , agents need more computational(More)
We evaluated the safety and efficacy of the combined use of remote medical services for patients with stroke, cancer, neuromuscular diseases, and other conditions, who are being cared for at home. This study was conducted as a part of a multicenter joint trial supported by the Health and Labour Sciences Research Grant for the 'Comparative Study of the home(More)
BACKGROUND To examine the effects of percutaneous endoscopic gastrostomy (PEG) on quality of life (QOL) in patients with dementia. METHODS We retrospectively included 53 Japanese community and tertiary hospitals to investigate the relationship between the newly developed PEG and consecutive dementia patients with swallowing difficulty between Jan 1st 2006(More)
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