3 papers
cs.AI2018
Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System
Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino +4
Argumentation-based dialogue systems, which can handle and exchange arguments through dialogue, have been widely researched. It is required that these systems have sufficient suppo…
cs.LG2018
Hierarchical Reinforcement Learning with Abductive Planning
Kazeto Yamamoto, Takashi Onishi, Yoshimasa Tsuruoka
One of the key challenges in applying reinforcement learning to real-life problems is that the amount of train-and-error required to learn a good policy increases drastically as th…
cs.AI2018
Translating MFM into FOL: towards plant operation planning
Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa +1
This paper proposes a method to translate multilevel flow modeling (MFM) into a first-order language (FOL), which enables the utilisation of logical techniques, such as inference e…