Qiang Qu

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation

2018 · Society for Industrial and Applied Mathematics eBooks

In this paper, we propose a personalized dialogue generation system, which combines reinforcement learning techniques with an attention-based hierarchical recurrent encoderdecoder model. Firstly, we incorporate user-specific information into the decoder to capture user's background information …

Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

2019 · arXiv (Cornell University)

The game of Chinese Checkers is a challenging traditional board game of perfect information that differs from other traditional games in two main aspects: first, unlike Chess, all checkers remain indefinitely in the game and …

An Effective Hybrid Learning Model for Real-Time Event Summarization

2020 · IEEE Transactions on Neural Networks and Learning Systems

Real-time event summarization (RES) aims at extracting a handful of document updates from an overwhelming document stream as the real-time event summary that tracks and summarizes the evolving event of interest. It has been attracting …

Generative Adversarial Network for Abstractive Text Summarization

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particular, we build the generator G as an …