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Báo cáo khoa học: "A Comparative Study of Reinforcement Learning Techniques on Dialogue Management"
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Báo cáo khoa học: "A Comparative Study of Reinforcement Learning Techniques on Dialogue Management"
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Adaptive Dialogue Systems are rapidly becoming part of our everyday lives. As they progress and adopt new technologies they become more intelligent and able to adapt better and faster to their environment. Research in this field is currently focused on how to achieve adaptation, and particularly on applying Reinforcement Learning (RL) techniques, so a comparative study of the related methods, such as this, is necessary. In this work we compare several standard and state of the art online RL algorithms that are used to train the dialogue manager in a dynamic environment, aiming to aid researchers / developers choose. | A Comparative Study of Reinforcement Learning Techniques on Dialogue Management Alexandros Papangelis NCSR Demokritos Institute of Informatics Telecommunications and Univ. of Texas at Arlington Comp. Science and Engineering alexandros.papangelis@mavs.uta.edu Abstract Adaptive Dialogue Systems are rapidly becoming part of our everyday lives. As they progress and adopt new technologies they become more intelligent and able to adapt better and faster to their environment. Research in this field is currently focused on how to achieve adaptation and particularly on applying Reinforcement Learning RL techniques so a comparative study of the related methods such as this is necessary. In this work we compare several standard and state of the art online RL algorithms that are used to train the dialogue manager in a dynamic environment aiming to aid researchers developers choose the appropriate RL algorithm for their system. This is the first work to the best of our knowledge to evaluate online RL algorithms on the dialogue problem and in a dynamic environment. 1 Introduction Dialogue Systems DS are systems that are able to make natural conversation with their users. There are many types of DS that serve various aims from hotel and flight booking to providing information or keeping company and forming long term relationships with the users. Other interesting types of DS are tutorial systems whose goal is to teach something new persuasive systems whose goal is to affect the user s attitude towards something through casual conversation and rehabilitation systems that aim at engaging patients to various activities that help their rehabilitation process. DS that incorporate adaptation to their environment are called Adaptive Dialogue Systems ADS . Over the past few years ADS have seen a lot of progress and have attracted the research community s and industry s interest. There is a number of available ADS applying state of the art techniques for adaptation and learning such as .
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