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Hongjie Zhang, Cheng Qu, Jindou Zhang and Jing Li
Deep Reinforcement Learning (DRL) is a promising approach for general artificial intelligence. However, most DRL methods suffer from the problem of data inefficiency. To alleviate this problem, DeepMind proposed Prioritized Experience Replay (PER). Thoug...
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Valeriy Lakhno,Volodimir Malyukov,Nataliia Mazur,Lidiia Kuzmenko,Berik Akhmetov,Vitalii Hrebeniuk
Pág. 74 - 81
A model for managing the investment process has been proposed, using an example of investing in information technologies (IT) taking into consideration that a given process is multifactorial in character. The difference between our model and those constr...
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Sari Merilampi, Antti Koivisto, Mirka Leino, Nuno Pombo, Virginie Felizardo, Jue Lu, Anja Poberznik and Johanna Virkki
The purpose of this paper was to create service models for cognitively stimulating mobile games and incorporate them into Finnish and Chinese elderly care. The implementation involved the use of two different mobile games as part of the everyday lives of...
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Ramón de la Rosa, Albano Carrera, Alonso Alonso, Benito Peñasco-Martín, Angel Gil-Agudo and Evaristo J. Abril
This paper analyses the role of myoelectric games in the rehabilitation of paraplegic patients. The University of Valladolid neuromuscular training system, UVa-NTS platform, which allows the myoelectric command of computer applications, has been introduc...
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Chad Tossell,Philip Kortum,Clayton Shepard,Ahmad Rahmati,Lin Zhong
Pág. pp. 37 - 43
This study examined smartphone user behaviors and their relation to self-reported smartphone addiction. Thirty-four users who did not own smartphones were given instrumented iPhones that logged all phone use over the course of the year-long study. At the...
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