Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Takehiro Tottori"'
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 25, Iss 5, p 791 (2023)
Decentralized stochastic control (DSC) is a stochastic optimal control problem consisting of multiple controllers. DSC assumes that each controller is unable to accurately observe the target system and the other controllers. This setup results in two
Externí odkaz:
https://doaj.org/article/73f231590ebc4dc68da9bfc9308cc8f4
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 25, Iss 2, p 208 (2023)
Memory-limited partially observable stochastic control (ML-POSC) is the stochastic optimal control problem under incomplete information and memory limitation. To obtain the optimal control function of ML-POSC, a system of the forward Fokker–Planck
Externí odkaz:
https://doaj.org/article/81acf35782fd43b189204ada1d69c560
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 24, Iss 11, p 1599 (2022)
Control problems with incomplete information and memory limitation appear in many practical situations. Although partially observable stochastic control (POSC) is a conventional theoretical framework that considers the optimal control problem with in
Externí odkaz:
https://doaj.org/article/efdb317e454041acba9430a8c763177e
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 23, Iss 5, p 551 (2021)
Decentralized partially observable Markov decision process (DEC-POMDP) models sequential decision making problems by a team of agents. Since the planning of DEC-POMDP can be interpreted as the maximum likelihood estimation for the latent variable mod
Externí odkaz:
https://doaj.org/article/f996cdc6706442eaa356c04b8821a6b8
Autor:
Tetsuya Kobayashi, Takehiro Tottori
Publikováno v:
Entropy; Volume 24; Issue 11; Pages: 1599
Control problems with incomplete information and memory limitation appear in many practical situations. Although partially observable stochastic control (POSC) is a conventional theoretical framework that considers the optimal control problem with in
Autor:
Takehiro Tottori, T. Kobayashi
Publikováno v:
Entropy
Volume 23
Issue 5
Entropy, Vol 23, Iss 551, p 551 (2021)
Volume 23
Issue 5
Entropy, Vol 23, Iss 551, p 551 (2021)
Decentralized partially observable Markov decision process (DEC-POMDP) models sequential decision making problems by a team of agents. Since the planning of DEC-POMDP can be interpreted as the maximum likelihood estimation for the latent variable mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4b708c3e434a2c7cdf01e66ba9b383
Publikováno v:
Physical Review E. 100
Fluctuations in intracellular reactions (intrinsic noise) reduce the information transmitted from an extracellular input to a cellular response. However, recent studies have demonstrated that the decrease in the transmitted information with respect t
Publikováno v:
Biophys J
A dendritic spine is a small structure on the dendrites of a neuron that processes input timing information from other neurons. Tens of thousands of spines are present on a neuron. Why are spines so small and many? We addressed this issue by using th
A dendritic spine is a small structure on the dendrites of a neuron that processes input timing information from other neurons. Tens of thousands of spines are present on a neuron. Why are spines so small and many? Because of the small number of mole
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e6616bdf73c58bafb089a23b8cc2bea