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Interactive Fiction games are text-based simulations in which an agent interacts with the world purely through natural language.
NAIL: A general interactive fiction agent
Matthew J. Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, and Jason D. Williams · 1902
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Transfer in deep reinforcement learning using knowledge graphs
Prithviraj Ammanabrolu and Mark O. Riedl · 1908
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Interactive fiction games: A colossal adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan · 1909
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Leveraging Linguistic Structure For Open Domain Information Extraction
Gabor Angeli, Johnson Premkumar, Melvin Jose, and Christopher D. Manning · 2015
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Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas D. Kulkarni, and Regina Barzilay · 2015
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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
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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What can you do with a rock? affordance extraction via word embeddings
Nancy Fulda, Daniel Ricks, Ben Murdoch, and David Wingate · 2017
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A knowledge-grounded neural conversation model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, William B. Dolan, Jianfeng Gao, Wen tau Yih, and Michel Galley · 2017
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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
Cited alongside, same era.
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, and Minlie Huang · 2018
Using reinforcement learning to learn how to play text-based games
Mikulás Zelinka · 2018
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Playing text-adventure games with graph-based deep reinforcement learning
Prithviraj Ammanabrolu and Mark O. Riedl · 2019
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Toward automated quest generation in text-adventure games
Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, and Mark O. Riedl · 2019
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Algorithmic improvements for deep reinforcement learning applied to interactive fiction, 2019
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, and Marc G. Bellemare · 2019
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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
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Graph Attention Networks
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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
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Comprehensible context-driven text game playing
Xusen Yin and Jonathan May · 2019
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Interactive language learning by question answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, and Adam Trischler · 2019
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