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In neural dialogue modeling, a neural network is trained to predict the next utterance, and at inference time, an approximate decoding algorithm is used to generate next utterances given previous ones.
Model-predictive policy learning with uncertainty regularization for driving in dense traffic
Mikael Henaff, Alfredo Canziani, and Yann LeCun. 2019 · 1901
Earlier work this paper cites.
Iterative solution of games by fictitious play
George W. Brown. 1951 · 1951
Earlier work this paper cites.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Reinforcement learning - an introduction
Richard S. Sutton and Andrew G. Barto. 1998 · 1998
Earlier work this paper cites.
Lattice minimum bayes-risk decoding for statistical machine translation
Roy Tromble, Shankar Kumar, Franz Josef Och, and Wolfgang Macherey. 2008 · 2008
Earlier work this paper cites.
Simulation theory
Karen Shanton and Alvin Goldman. 2010 · 2010
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo
Matthew D. Hoffman and Andrew Gelman. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Earlier work this paper cites.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Later among the works it cites.
Emergent communication through negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, and Stephen Clark. 2018 · 2018
Later among the works it cites.
Learning with opponent-learning awareness
Jakob Foerster, Richard Y Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, and Igor Mordatch. 2018 · 2018
Later among the works it cites.
David Ha and Jürgen Schmidhuber. 2018 · 2018
Later among the works it cites.
Intrinsic social motivation via causal influence in multi-agent RL
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Mike Lewis, Denis Yarats, Yann N Dauphin, Devi Parikh, and Dhruv Batra. 2017 · 2017
Cited alongside, same era.
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A. H. Miller, W. Feng, A. Fisch, J. Lu, D. Batra, A. Bordes, D. Parikh, and J. Weston. 2017 · 2017
Cited alongside, same era.
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Cited alongside, same era.
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Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, and Nando de Freitas. 2018 · 2018
Later among the works it cites.
Importance of a search strategy in neural dialogue modelling
Ilya Kulikov, Alexander H Miller, Kyunghyun Cho, and Jason Weston. 2018 · 2018
Later among the works it cites.
Machine theory of mind
Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, and Matthew Botvinick. 2018 · 2018
Later among the works it cites.
Modeling others using oneself in multi-agent reinforcement learning
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Later among the works it cites.
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Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, and Dhruv Batra. 2018 · 2018
Later among the works it cites.
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Yury Zemlyanskiy and Fei Sha. 2018 · 2018
Later among the works it cites.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Later among the works it cites.