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Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System
It is required that these systems have sufficient supporting information to argue their claims rationally; however, the systems often do not have enough of such information in realistic situations.
Hierarchical Reinforcement Learning with Abductive Planning
One potential solution to this problem is to combine reinforcement learning with automated symbol planning and utilize prior knowledge on the domain.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
Translating MFM into FOL: towards plant operation planning
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 engines and abductive reasoners.
