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For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the sparse rewards in RL.To solve this problem, many strategies have been proposed to give proper rewards when training RL, but their rewards lack interpretability and cannot accurately estimate the distribution of state-action pairs in real dialogs.
Convlab: Multi-domain end-to-end dialog system platform
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Guided dialog policy learning: Reward estimation for multi-domain task-oriented dialog
Ryuichi Takanobu, Hanlin Zhu, and Minlie Huang. 2019 · 1908
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The jddc corpus: A large-scale multi-turn chinese dialogue dataset for e-commerce customer service
Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, and Bowen Zhou. 2019b · 1911
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Guided dialog policy learning without adversarial learning in the loop
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Agenda-based user simulation for bootstrapping a pomdp dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
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Automating spoken dialogue management design using machine learning: An industry perspective
Tim Paek and Roberto Pieraccini. 2008 · 2008
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
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Generative adversarial nets
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. 2015 · 2015
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Pei-Hao Su, David Vandyke, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, and Steve Young. 2015 · 2015
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon. 2016 · 2016
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2016 · 2016
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Feudal reinforcement learning for dialogue management in large domains
Inigo Casanueva, Paweł Budzianowski, Pei-Hao Su, Stefan Ultes, Lina Rojas-Barahona, Bo-Hsiang Tseng, and Milica Gašić. 2018 · 2018
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Adversarial learning of task-oriented neural dialog models
Bing Liu and Ian Lane. 2018 · 2018
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Task-oriented dialogue system for automatic diagnosis
Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuan-Jing Huang, Kam-Fai Wong, and Xiang Dai. 2018 · 2018
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Hagan: Hierarchical attentive adversarial learning for task-oriented dialogue system
Ting Fang, Tingting Qiao, and Duanqing Xu. 2019 · 2019
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To combine or not to combine? a rainbow deep reinforcement learning agent for dialog policy
Dirk Väth Ngoc Thang Vu. 2019 · 2019
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Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong. 2017 · 2017
Cited alongside, same era.
Multiwoz-a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Inigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Agentgraph: Toward universal dialogue management with structured deep reinforcement learning
Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gašić, and Kai Yu. 2019a
Cited in the paper.
Recent advances and challenges in task-oriented dialog systems
Zheng Zhang, Ryuichi Takanobu, Qi Zhu, MinLie Huang, and XiaoYan Zhu. 2020 · 2020
Later among the works it cites.