Artificial intelligence (AI) technology has become an important trend to support the analysis
and control of complex and time-varying power systems. Although deep reinforcement …

Accurate and fast fault detection in transmission lines is of high importance to maintain the
reliability of power systems. Most of the existing methods suffer from false detection of high …

A suitable state representation is a fundamental part of the learning process in
Reinforcement Learning. In various tasks, the state can either be described by natural …

The lack of transparency in reinforcement learning methods' decision-making process has
resulted in a significant lack of trust towards these models, subsequently limiting their …

Emergentism and pragmatics are two research fields that study the dynamics of linguistic
communication along quite different timescales and intelligence levels. From the perspective …

We present a new approach to dialogue management using conversational knowledge
graphs as core representation of the dialogue state. To this end, we introduce a new dataset …

Abstract Contextual Path Generation (CPG) refers to the task of generating knowledge path
(s) between a pair of entities mentioned in an input textual context to determine the semantic …

ABSTRACT AI-based technologies have changed the nature of the symbiosis between
humans and AI, and so strategic management of human-AI interaction in organizations …

The increasing availability of Massive Open Online Courses (MOOCs) has created a
necessity for personalized course recommendation systems. These systems often combine …

In this work, we study entrainment of users playing a creative reference resolution game with
an autonomous dialogue system. The language understanding module in our dialogue …