Due to the significance and value in human-computer interaction and natural language
processing, task-oriented dialog systems are attracting more and more attention in both …

The first part of a two-part series of papers provides a survey on recent advances in Deep
Reinforcement Learning (DRL) applications for solving partially observable Markov decision …

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …

The majority of current systems for end-to-end dialog generation focus on response quality
without an explicit control over the affective content of the responses. In this paper, we …

Embodied agents have achieved prominent performance in following human instructions to
complete tasks. However, the potential of providing instructions informed by texts and …

Nowadays chatbots have been widely adopted in many industries to automatically answer
users' questions and requests via chat interfaces. While it has become much easier to …

Chatbots are computer programs aiming to replicate human conversational abilities through
voice exchanges, textual dialogues, or both. They are becoming increasingly pervasive in …

Dialogue policy learning (DPL) is a key component in a task-oriented dialogue (TOD)
system. Its goal is to decide the next action of the dialogue system, given the dialogue state …

Procedural planning aims to implement complex high-level goals by decomposition into
sequential simpler low-level steps. Although procedural planning is a basic skill set for …

Conversational AI is a sub-domain of Artificial Intelligence that deals with speech-based or
text-based AI agents that have the capability to simulate and automate conversations and …