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Standard deep reinforcement learning methods such as Deep Q-Networks (DQN) for multiple tasks (domains) face scalability problems.
Multi-domain spoken dialogue system with extensibility and robustness against speech recognition errors
K. Komatani, N. Kanda, M. Nakano, K. Nakadai, H. Tsujino, T. Ogata, and H. G. Okuno · 2006
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Evaluation of a hierarchical reinforcement learning spoken dialogue system
H. Cuayáhuitl, S. Renals, O. Lemon, and H. Shimodaira · 2010
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Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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Multi-policy dialogue management
P. Lison · 2011
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Maxout networks
I. J. Goodfellow, D. Warde-Farley, M. Mirza, A. C. Courville, and Y. Bengio · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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Playing atari with deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller · 2013
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Nonstrict hierarchical reinforcement learning for interactive systems and robots
H. Cuayáhuitl, I. Kruijff-Korbayová, and N. Dethlefs · 2014
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Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation
M. Henderson, B. Thomson, and S. J. Young · 2014
Cited alongside, same era.
Policy learning for domain selection in an extensible multi-domain spoken dialogue system
Z. Wang, H. Chen, G. Wang, H. Tian, H. Wu, and H. Wang · 2014
Cited alongside, same era.
J. Weston, S. Chopra, and A. Bordes · 2014
Cited alongside, same era.
Strategic dialogue management via deep reinforcement learning
H. Cuayáhuitl, S. Keizer, and O. Lemon · 2015
Cited alongside, same era.
Policy committee for adaptation in multi-domain spoken dialogue systems
M. Gasic, N. Mrksic, P. Su, D. Vandyke, T. Wen, and S. J. Young · 2015
Cited alongside, same era.
Multi-domain dialog state tracking using recurrent neural networks
N. Mrksic, D. Ó. Séaghdha, B. Thomson, M. Gasic, P. Su, D. Vandyke, T. Wen, and S. J. Young · 2015
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Hierarchical neural network generative models for movie dialogues
I. V. Serban, A. Sordoni, Y. Bengio, A. C. Courville, and J. Pineau · 2015
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Multi-domain dialogue success classifiers for policy training
D. Vandyke, P. Su, M. Gasic, N. Mrksic, T. Wen, and S. J. Young · 2015
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O. Vinyals and Q. V. Le · 2015
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SimpleDS: A simple deep reinforcement learning dialogue system
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Dialogue management based on multi-domain corpus
W. Ge and B. Xu · 2015
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ConvNetJS: Javascript library for deep learning
A. Karpathy · 2015
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Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis · 2015
Cited alongside, same era.
H. Cuayáhuitl · 2016
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An intelligent dialogue agent for the IoT home
H. Jeon, H. R. Oh, I. Hwang, and J. Kim · 2016
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Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
T. D. Kulkarni, K. Narasimhan, A. Saeedi, and J. B. Tenenbaum · 2016
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T. Zhao and M. Eskénazi · 2016
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