Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …

A conversational chatbot or dialogue system is a computer program designed to simulate
conversation with human users, especially over the Internet. These chatbots can be …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

Deep reinforcement learning (DRL) is poised to revolutionize the field of artificial intelligence
(AI) and represents a step toward building autonomous systems with a higher-level …

Deep reinforcement learning is poised to revolutionise the field of AI and represents a step
towards building autonomous systems with a higher level understanding of the visual world …

Recent neural models of dialogue generation offer great promise for generating responses
for conversational agents, but tend to be shortsighted, predicting utterances one at a time …

We investigate the task of building open domain, conversational dialogue systems based on
large dialogue corpora using generative models. Generative models produce system …

To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the
compositional, relational, and hierarchical structure of the world, and learn to transfer it to the …

This paper introduces the Ubuntu Dialogue Corpus, a dataset containing almost 1 million
multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This …