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pro vyhledávání: '"Tomomatsu, Yuta"'
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
