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Over the last few years, there has been growing interest in learning models for physically grounded language understanding tasks, such as the popular blocks world domain.
Understanding natural language
Terry Winograd. 1972 · 1972
Earlier work this paper cites.
The trains project: A case study in building a conversational planning agent
James F Allen, Lenhart K Schubert, George Ferguson, Peter Heeman, Chung Hee Hwang, Tsuneaki Kato, Marc Light, Nathaniel Martin, Bradford Miller, Massimo Poesio, et al. 1995 · 1995
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Walk the talk: Connecting language, knowledge, and action in route instructions
Matt MacMahon, Brian Stankiewicz, and Benjamin Kuipers. 2006 · 2006
Earlier work this paper cites.
Interactive robot task training through dialog and demonstration
Paul E Rybski, Kevin Yoon, Jeremy Stolarz, and Manuela M Veloso. 2007 · 2007
Earlier work this paper cites.
Reinforcement learning for mapping instructions to actions
Satchuthananthavale RK Branavan, Harr Chen, Luke S Zettlemoyer, and Regina Barzilay. 2009 · 2009
Earlier work this paper cites.
Learning to interpret natural language navigation instructions from observations
David L Chen and Raymond J Mooney. 2011 · 2011
Cited alongside, same era.
Understanding natural language commands for robotic navigation and mobile manipulation
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R Walter, Ashis Gopal Banerjee, Seth J Teller, and Nicholas Roy. 2011 · 2011
Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Andrew L Maas, Awni Y Hannun, and Andrew Y Ng. 2013 · 2013
Cited alongside, same era.
On the difficulty of training recurrent neural networks
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Later among the works it cites.
Natural language communication with robots
Yonatan Bisk, Deniz Yuret, and Daniel Marcu. 2016 · 2016
Later among the works it cites.
Mapping instructions and visual observations to actions with reinforcement learning
Dipendra K Misra, John Langford, and Yoav Artzi. 2017 · 2017
Later among the works it cites.
A network-based end-to-end trainable task-oriented dialogue system
TH Wen, D Vandyke, N Mrkšíc, M Gašíc, LM Rojas-Barahona, PH Su, S Ultes, and S Young. 2017 · 2017
Later among the works it cites.
Source-target inference models for spatial instruction understanding
Hao Tan and Mohit Bansal. 2018 · 2018
Later among the works it cites.
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Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Cited alongside, same era.