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We seek to create agents that both act and communicate with other agents in pursuit of a goal.
Learning to speak and act in a fantasy text adventure game
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, and Jason Weston. 2019 · 1903
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A survey of reinforcement learning informed by natural language
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Ledeepchef: Deep reinforcement learning agent for families of text-based games
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Mastering atari, go, chess and shogi by planning with a learned model
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Asynchronous methods for deep reinforcement learning
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Intelligence without representation
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Reinforcement learning for spoken dialogue systems
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Learning dynamic knowledge graphs to generalize on text-based games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, and William L. Hamilton. 2020 · 2002
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Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, and Arthur Szlam. 2020 · 2002
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Embodied meaning in a neural theory of language
Jerome Feldman and Srinivas Narayanan. 2004 · 2004
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2004
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Recipes for building an open-domain chatbot
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Enhancing text-based reinforcement learning agents with commonsense knowledge
Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, and Kartik Talamadupula. 2020 · 2005
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How to avoid being eaten by a grue: Structured exploration strategies for textual worlds
Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht, and Mark O Riedl. 2020 · 2006
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Walk the talk: Connecting language, knowledge, and action in route instructions
Matt MacMahon, Brian Stankiewicz, and Benjamin Kuipers. 2006 · 2006
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Grounded cognition
Lawrence W. Barsalou. 2008 · 2008
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Toward understanding natural language directions
Thomas Kollar, Stefanie Tellex, Deb Roy, and Nicholas Roy. 2010 · 2010
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A study of how different game play aspects can affect the popularity of role-playing video games
Matthew Horsfall and Andreas Oikonomou. 2011 · 2011
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Sample-efficient batch reinforcement learning for dialogue management optimization
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Robyn Speer and Catherine Havasi. 2012 · 2012
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D Williams. 2014 · 2014
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Karthik Narasimhan, Tejas D. Kulkarni, and Regina Barzilay. 2015 · 2015
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Natural language communication with robots
Yonatan Bisk, Deniz Yuret, and Daniel Marcu. 2016 · 2016
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Policy networks with two-stage training for dialogue systems
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Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, and Anton van den Hengel. 2018 · 2018
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Textworld: A learning environment for text-based games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler. 2018 · 2018
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Training millions of personalized dialogue agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
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Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks
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Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, and Kaheer Suleman. 2016 · 2016
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A paradigm for situated and goal-driven language learning
Jon Gauthier and Igor Mordatch. 2016 · 2016
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Deep reinforcement learning with a natural language action space
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, and Mari Ostendorf. 2016 · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky. 2016 · 2016
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A roadmap towards machine intelligence
Tomas Mikolov, Armand Joulin, and Marco Baroni. 2016 · 2016
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Learning cooperative visual dialog agents with deep reinforcement learning
Abhishek Das, Satwik Kottur, José MF Moura, Stefan Lee, and Dhruv Batra. 2017 · 2017
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Frames: a corpus for adding memory to goal-oriented dialogue systems
Layla El Asri, Hannes Schulz, Shikhar Sharma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, and Kaheer Suleman. 2017 · 2017
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Jason Phang, Thibault Févry, and Samuel R Bowman. 2018 · 2018
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Learning semantic textual similarity from conversations
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-Yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
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Counting to explore and generalize in text-based games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, and Adam Trischler. 2018 · 2018
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Learn what not to learn: Action elimination with deep reinforcement learning
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J Mankowitz, and Shie Mannor. 2018 · 2018
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Transfer in deep reinforcement learning using knowledge graphs
Prithviraj Ammanabrolu and Mark Riedl. 2019 · 2019
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Comet: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Çelikyilmaz, and Yejin Choi. 2019 · 2019
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Attending to future tokens for bidirectional sequence generation
Carolin Lawrence, Bhushan Kotnis, and Mathias Niepert. 2019 · 2019
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Atomic: An atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith, and Yejin Choi. 2019 · 2019
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Grandmaster level in starcraft ii using multi-agent reinforcement learning
Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev, et al. 2019 · 2019
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Graph constrained reinforcement learning for natural language action spaces
Prithviraj Ammanabrolu and Matthew Hausknecht. 2020 · 2020
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