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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Oct 08, 2020
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre C么t茅, Yonatan Bisk, Adam Trischler, Matthew Hausknecht

* Data, code, and videos are available at alfworld.github.io 

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Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Oct 06, 2020
Shunyu Yao, Rohan Rao, Matthew Hausknecht, Karthik Narasimhan

* EMNLP 2020 

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How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Jun 12, 2020
Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht, Mark O. Riedl


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Graph Constrained Reinforcement Learning for Natural Language Action Spaces

Jan 23, 2020
Prithviraj Ammanabrolu, Matthew Hausknecht

* Accepted to ICLR 2020 

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Working Memory Graphs

Nov 17, 2019
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht

* 9 pages, 6 figures, 6 page appendix 

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Learning Calibratable Policies using Programmatic Style-Consistency

Oct 02, 2019
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht


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Interactive Fiction Games: A Colossal Adventure

Sep 11, 2019
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre C么t茅, Xingdi Yuan


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Multi-Preference Actor Critic

Apr 05, 2019
Ishan Durugkar, Matthew Hausknecht, Adith Swaminathan, Patrick MacAlpine

* NeurIPS Workshop on Deep RL, 2018 

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ScriptNet: Neural Static Analysis for Malicious JavaScript Detection

Apr 01, 2019
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew Hausknecht


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NAIL: A General Interactive Fiction Agent

Feb 14, 2019
Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason D. Williams


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TextWorld: A Learning Environment for Text-based Games

Jun 29, 2018
Marc-Alexandre C么t茅, 脕kos K谩d谩r, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler

* 29 pages, to appear at Computer Games Workshop at ICML/IJCAI 2018, Stockholm 

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Counting to Explore and Generalize in Text-based Games

Jun 29, 2018
Xingdi Yuan, Marc-Alexandre C么t茅, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler


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Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

May 22, 2018
Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli

* ICLR 2018 

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Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dec 01, 2017
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew Hausknecht, Michael Bowling


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Neural Program Meta-Induction

Oct 11, 2017
Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew Hausknecht, Pushmeet Kohli

* 8 Pages + 1 page appendix 

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Deep Recurrent Q-Learning for Partially Observable MDPs

Jan 11, 2017
Matthew Hausknecht, Peter Stone


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Deep Reinforcement Learning in Parameterized Action Space

Feb 16, 2016
Matthew Hausknecht, Peter Stone


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Beyond Short Snippets: Deep Networks for Video Classification

Apr 13, 2015
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici


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