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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Mar 29, 2021
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe

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Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

Mar 25, 2021
Shunyu Yao, Karthik Narasimhan, Matthew Hausknecht

* NAACL 2021 

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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Oct 08, 2020
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht

* Data, code, and videos are available at 

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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 Côté, 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 Côté, Ákos Kádár, 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 Côté, 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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