Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yuko Ishiwaka"'
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 3, Iss 4, Pp 85-90 (2005)
We attempt to achieve corporative behavior of autonomous decentralized agents constructed via Q-Learning, which is a type of reinforcement learning. As such, in the present paper, we examine the piano mover's problem. We propose a multi-agent archite
Externí odkaz:
https://doaj.org/article/0b50751e9f14453d91e441544e68007d
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aa45d265a2726fb7d11ba966322c70f
https://doi.org/10.1109/icassp43922.2022.9747168
https://doi.org/10.1109/icassp43922.2022.9747168
Publikováno v:
ICHMS
Personalized systems are required in many domains. However, gathering training data for personalization from individuals, as is necessary with deep learning, is a difficult and timeconsuming task. With our proposed method, less or no training data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e01fbdc1e80496679b4b81a89f666503
https://doi.org/10.1109/ichms49158.2020.9209540
https://doi.org/10.1109/ichms49158.2020.9209540
Publikováno v:
SMC
We propose a new method called ”Dark Side Ternary Stars (DSTS)”, which is expected to allow emotional personal agents to interact with users. DSTS focuses on proper nouns to adapt preference to users. In this paper, we report only on ”GAGPL”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792b719dd28549f5483e0d83f9374049
https://doi.org/10.1109/smc.2019.8913999
https://doi.org/10.1109/smc.2019.8913999
An approach to the pursuit problem on a heterogeneous multiagent system using reinforcement learning
Publikováno v:
Robotics and Autonomous Systems. 43:245-256
Cooperation among agents is important for multiagent systems having a shared goal. In this paper, an example of the pursuit problem is studied, in which four hunters collaborate to catch a target. A reinforcement learning algorithm is employed to mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7662427977e778f4c4bf62b8b1dfc066
https://doi.org/10.1016/s0921-8890(03)00040-x
https://doi.org/10.1016/s0921-8890(03)00040-x
Publikováno v:
International Congress Series. 1232:271-275
Our purpose was to develop an interface that closely adapts to individuals such as bedridden people. By quantifying the frustration as the human manipulates the machines from the biomedical signal, and making it to be the teaching signals of machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc89f4485b21b078d01a12904e583bda
https://doi.org/10.1016/s0531-5131(01)00721-x
https://doi.org/10.1016/s0531-5131(01)00721-x
Publikováno v:
IFAC Proceedings Volumes. 34:45-50
The design for our system is developed with the objective of adapting interface for handicapped people, In particular the system which we describe here supports bedridden people in bringing an object instead, Interactive Q-Leaming (IQL) method is pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf205f325c9739178fcd506adf6ff3f
https://doi.org/10.1016/s1474-6670(17)33111-7
https://doi.org/10.1016/s1474-6670(17)33111-7
Publikováno v:
Advances in Soft Computing ISBN: 9783540250555
WSTST
WSTST
An immune algorithm is applied to search optimal concentrations of solid-state catalysts. In order to evaluate the activity of catalysts, an artificial neural network trained by the observed data is adopted. This method makes us possible to obtain po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd43e720a6c790e291d34f2763902d1b
https://doi.org/10.1007/3-540-32391-0_33
https://doi.org/10.1007/3-540-32391-0_33
Publikováno v:
IEEE International Conference on Systems, Man and Cybernetics.
Our approach is to achieve the cooperative behavior of autonomous decentralized agents constructed with Q-Learning, which is a type of reinforcement learning. The piano mover's problem is employed. We propose the multi agent architecture that has an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864000499771e7cfeaf658c97bfc8033
https://doi.org/10.1109/icsmc.2002.1173252
https://doi.org/10.1109/icsmc.2002.1173252
Publikováno v:
Distributed Autonomous Robotic Systems 5 ISBN: 9784431659433
DARS
DARS
Purpose of this system is to adapt the bedridden people who cannot move their body easily, so the simple reinforcement signals are applied. The application is to control the behaviors of Khepera robot, which is a small mobile robot. For the simple re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92660e030319cbfd4735f7186dbe4a59
https://doi.org/10.1007/978-4-431-65941-9_47
https://doi.org/10.1007/978-4-431-65941-9_47