We present a new data-driven methodology for simulation-based dialogue strategy learning, which allows us to address several problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and determining a data-driven reward function. In addition, we evaluate the result with real users, and explore how result...

We explore the use of restricted dialogue contexts in reinforcement learning (RL) of effective dialogue strategies for information seeking spoken dialogue systems (e.g. COMMUNICATOR (Walker et al., 2001)). The contexts we use are richer than previous research in this area, e.g. (Levin and Pieraccini, 1997; Scheffler and Young, 2001; Singh et al., 2002; Pietquin, 2004), which use only slot-based...

This paper describes a method for automatic design of human-computer dialogue strategies by means of reinforcement learning, using a dialogue simulation tool to model the user behaviour and system recognition performance. To the authors’ knowledge this is the first application of a detailed simulation tool to this problem. The simulation tool is trained on a corpus of real user data. Compared t...

Artificial intelligence (AI) is increasingly studied in many fields such as philosophy, law and decision making. One of the approaches to AI is the use of agent and multi-agent systems. Agents are key element for building complex largescale distributed systems[9]. In multi-agent systems, each agent interacts with the environment and communicates with other agents in order to achieve the designa...

In this paper, we propose to combine sample-efficient generalization frameworks for RL with a feature selection algorithm for the learning of an optimal spoken dialogue system (SDS) strategy.

Background. It cannot be denied that sport ecosystem consists of complex stakeholders. According to that, smart orchestration was needed to permit integration and promote active cross-sectoral. It required a suitable strategy to integrate and engage the entire system at any individual group, enterprise-level, and public sector. Therefore, the practical strategy will engage the entire system, so...

since 2011, the region has been a profound socio-economic changes originated from n tunisia, & spread to middle eastern and the former power structures affected. the management and direction to these uprisings is the key question of this paper. the key question, is the foreign policy of the islamic republic of iran how answer to these middle east public uprisings in the years 2011-2014?the answ...