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Text-based games present a unique challenge for autonomous agents to operate in natural language and handle enormous action spaces.
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Algorithmic improvements for deep reinforcement learning applied to interactive fiction
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Learning to speak and act in a fantasy text adventure game
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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 · 1909
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Interactive fiction games: A colossal adventure
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Graph constrained reinforcement learning for natural language action spaces
Prithviraj Ammanabrolu and Matthew Hausknecht. 2020 · 2001
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Angeliki Lazaridou, Anna Potapenko, and Olivier Tieleman. 2020 · 2005
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Speech and Language Processing (2nd Edition)
Daniel Jurafsky and James H. Martin. 2009 · 2009
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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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. 2015 · 2015
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Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas D. Kulkarni, and Regina Barzilay. 2015 · 2015
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Two are better than one: An ensemble of retrieval-and generation-based dialog systems
Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, and Ming Zhang. 2016 · 2016
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Text-based adventures of the golovin AI agent
Bartosz Kostka, Jaroslaw Kwiecien, Jakub Kowalski, and Pawel Rychlikowski. 2017 · 2017
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Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, and Geoffrey Zweig. 2017 · 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, et al. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Towards solving text-based games by producing adaptive action spaces
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Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning
Tiancheng Zhao and Maxine Eskenazi. 2016 · 2016
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A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
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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 · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
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Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, and Layla El Asri. 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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Playing text-adventure games with graph-based deep reinforcement learning
Prithviraj Ammanabrolu and Mark Riedl. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Ai dungeon 2: Creating infinitely generated text adventures with deep learning language models
Nick Walton. 2019 · 2019
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