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Reinforcement Learning has shown success in a number of complex virtual environments.
Nail: A general interactive fiction agent
Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, and Jason D Williams · 1902
Earlier work this paper cites.
Interactive fiction games: A colossal adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan · 1909
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Zork: The great underground empire – part i, 1980
Tim Anderson, Marc Blank, Bruce Daniels, and Dave Lebling · 1980
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Introduction to Reinforcement Learning
Richard S. Sutton and Andrew G. Barto · 1998
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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 · 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 · 2006
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How to motivate your dragon: Teaching goal-driven agents to speak and act in fantasy worlds
Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktaschel, and J. Weston · 2010
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Text-based rl agents with commonsense knowledge: New challenges, environments and baselines
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, and Murray Campbell · 2010
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin A. Riedmiller · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, B. V. Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Leveraging linguistic structure for open domain information extraction
Gabor Angeli, Melvin Jose Johnson Premkumar, and Christopher D. Manning · 2015
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Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas Kulkarni, and Regina Barzilay · 2015
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Deep reinforcement learning with double q-learning
H. V. Hasselt, A. Guez, and D. Silver · 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
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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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"why should I trust you?": Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
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Mastering the game of go with deep neural networks and tree search
D. Silver, Aja Huang, Chris J. Maddison, A. Guez, L. Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, S. Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and Demis Hassabis · 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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Text-based adventures of the golovin ai agent
Bartosz Kostka, Jaroslaw Kwiecieli, Jakub Kowalski, and Pawel Rychlikowski · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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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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Building dynamic knowledge graphs from text-based games
Mikulá Zelinka, Xingdi Yuan, Marc-Alexandre Côté, R. Laroche, and Adam Trischler · 2019
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Learning dynamic belief 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 Will Hamilton · 2020
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Ledeepchef: Deep reinforcement learning agent for families of text-based games
Leonard Adolphs and T. Hofmann · 2020
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Graph constrained reinforcement learning for natural language action spaces
Prithviraj Ammanabrolu and Matthew J. Hausknecht · 2020
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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, J. Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler · 2018
Cited alongside, same era.
Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling · 2018
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Towards solving text-based games by producing adaptive action spaces
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, and Layla El Asri · 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 Hausknecht, and Adam Trischler · 2018
Cited alongside, same era.
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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Playing text-adventure games with graph-based deep reinforcement learning
Prithviraj Ammanabrolu and Mark O Riedl · 2019
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Building dynamic knowledge graphs from text using machine reading comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, and Andrew McCallum · 2019
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Bootstrapped q-learning with context relevant observation pruning to generalize in text-based games
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, and Ryuki Tachibana · 2020
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Games for fairness and interpretability
Eric Chu, Nabeel Gillani, and Sneha Priscilla Makini · 2020
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Interactive fiction game playing as multi-paragraph reading comprehension with reinforcement learning
Xiaoxiao Guo, M. Yu, Yupeng Gao, Chuang Gan, Murray Campbell, and S. Chang · 2020
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Algorithmic improvements for deep reinforcement learning applied to interactive fiction
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, and Marc G Bellemare · 2020
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Exploration based language learning for text-based games
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, and Gokhan Tur · 2020
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Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew J. Hausknecht · 2020
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Deep reinforcement learning with stacked hierarchical attention for text-based games
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, and Chengqi Zhang · 2020
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Deep reinforcement learning with transformers for text adventure games
Y. Xu, L. Chen, M. Fang, Y. Wang, and C. Zhang · 2020
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Keep calm and explore: Language models for action generation in text-based games
Shunyu Yao, Rohan Rao, Matthew Hausknecht, and Karthik Narasimhan · 2020
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Zero-shot learning of text adventure games with sentence-level semantics
Xusen Yin and Jonathan May · 2020
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Learning to generalize for sequential decision making
Xusen Yin, R. Weischedel, and Jonathan May · 2020
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