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A long-term goal of machine learning research is to build an intelligent dialog agent.
Learning to generate artificial fovea trajectories for target detection
J. Schmidhuber and R. Huber · 1991
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
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Negative evidence in language acquisition
G. F. Marcus · 1993
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Instructive feedback: Review of parameters and effects
M. G. Werts, M. Wolery, A. Holcombe, and D. L. Gast · 1995
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Learning through feedback
A. S. Latham · 1997
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The conscientious consumer: Reconsidering the role of assessment feedback in student learning
R. Higgins, P. Hartley, and A. Skelton · 2002
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Early language acquisition: cracking the speech code
P. K. Kuhl · 2004
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Guiding a reinforcement learner with natural language advice: Initial results in robocup soccer
G. Kuhlmann, P. Stone, R. Mooney, and J. Shavlik · 2004
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A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies
J. Schatzmann, K. Weilhammer, M. Stuttle, and S. Young · 2006
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Driving semantic parsing from the world’s response
J. Clarke, D. Goldwasser, M.-W. Chang, and D. Roth · 2010
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Interactional feedback and the impact of attitude and motivation on noticing l2 form
M. A. Bassiri · 2011
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Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation
V. Rieser and O. Lemon · 2011
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Predicting tasks in goal-oriented spoken dialog systems using semantic knowledge bases
A. Pappu and A. Rudnicky · 2013
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Learning from natural instructions
D. Goldwasser and D. Roth · 2014
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Hierarchical control using networks trained with higher-level forward models
G. Wayne and L. Abbott · 2014
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Deepmpc: Learning deep latent features for model predictive control
I. Lenz, R. Knepper, and A. Saxena · 2015
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A roadmap towards machine intelligence
T. Mikolov, A. Joulin, and M. Baroni · 2015
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Language understanding for text-based games using deep reinforcement learning
K. Narasimhan, T. Kulkarni, and R. Barzilay · 2015
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Action-conditional video prediction using deep networks in atari games
J. Oh, X. Guo, H. Lee, R. L. Lewis, and S. Singh · 2015
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Sequence level training with recurrent neural networks
M. Ranzato, S. Chopra, M. Auli, and W. Zaremba · 2015
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J. Weston, S. Chopra, and A. Bordes · 2014
Cited alongside, same era.
Large-scale simple question answering with memory networks
A. Bordes, N. Usunier, S. Chopra, and J. Weston · 2015
Cited alongside, same era.
Evaluating prerequisite qualities for learning end-to-end dialog systems
J. Dodge, A. Gane, X. Zhang, A. Bordes, S. Chopra, A. Miller, A. Szlam, and J. Weston · 2015
Cited alongside, same era.
The goldilocks principle: Reading children’s books with explicit memory representations
F. Hill, A. Bordes, S. Chopra, and J. Weston · 2015
Cited alongside, same era.
Learning knowledge graphs for question answering through conversational dialog
B. Hixon, P. Clark, and H. Hajishirzi · 2015
Cited alongside, same era.
Mazebase: A sandbox for learning from games
S. Sukhbaatar, A. Szlam, G. Synnaeve, S. Chintala, and R. Fergus
Cited in the paper.
End-to-end memory networks
S. Sukhbaatar, J. Weston, R. Fergus, et al
Cited in the paper.
A neural network approach to context-sensitive generation of conversational responses
A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, and B. Dolan · 2015
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Incentivizing exploration in reinforcement learning with deep predictive models
B. C. Stadie, S. Levine, and P. Abbeel · 2015
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P.-H. Su, D. Vandyke, M. Gasic, N. Mrksic, T.-H. Wen, and S. Young · 2015
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Towards ai-complete question answering: a set of prerequisite toy tasks
J. Weston, A. Bordes, S. Chopra, and T. Mikolov · 2015
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Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio · 2015
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