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pro vyhledávání: '"Shimoyama, Sho"'
Autor:
Shimoyama, Sho
We explicitly construct parameter transformations between gradient flows in metric spaces, called curves of maximal slope, having different exponents when the associated function satisfies a suitable convexity condition. These transformations induce
Externí odkaz:
http://arxiv.org/abs/2404.02703
Autor:
Shimoyama, Sho, Morimura, Tetsuro, Abe, Kenshi, Takamichi, Toda, Tomomatsu, Yuta, Sugiyama, Masakazu, Hentona, Asahi, Azuma, Yuuki, Ninomiya, Hirotaka
Dialog policies, which determine a system's action based on the current state at each dialog turn, are crucial to the success of the dialog. In recent years, reinforcement learning (RL) has emerged as a promising option for dialog policy learning (DP
Externí odkaz:
http://arxiv.org/abs/2307.06721
Autor:
Ninomiya, Takashi, Shimoyama, Shoichi, Taniguchi, Sho, Takahashi, Toshihiro, Danhara, Tohru, Iwano, Hideki
Publikováno v:
Geosciences (2076-3263); Sep2021, Vol. 11 Issue 9, p363, 1p
