Matthew J. Hausknecht

According to our database, Matthew J. Hausknecht authored at least 36 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

One-Shot Learning from a Demonstration with Hierarchical Latent Language.

Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

UniMASK: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers.

Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Consistent Dropout for Policy Gradient Reinforcement Learning.

Matthew J. Hausknecht, Nolan Wagener

CoRR, 2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control.

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uni[MASK]: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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

Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Prithviraj Ammanabrolu, Ethan Tien, Matthew J. Hausknecht, Mark O. Riedl

CoRR, 2020

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

Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. 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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learning Calibratable Policies using Programmatic Style-Consistency.

Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht

Proceedings of the 37th International Conference on Machine Learning, 2020

Working Memory Graphs.

Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew J. Hausknecht

Proceedings of the 37th International Conference on Machine Learning, 2020

Graph Constrained Reinforcement Learning for Natural Language Action Spaces.

Prithviraj Ammanabrolu, Matthew J. Hausknecht

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Fiction Games: A Colossal Adventure.

Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Preference Actor Critic.

Ishan Durugkar, Matthew J. Hausknecht, Adith Swaminathan, Patrick MacAlpine

CoRR, 2019

NAIL: A General Interactive Fiction Agent.

Matthew J. Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason D. Williams

CoRR, 2019

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection.

Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht

Proceedings of the 2019 IEEE Military Communications Conference, 2019

2018

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

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

J. Artif. Intell. Res., 2018

Counting to Explore and Generalize in Text-based Games.

Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler

CoRR, 2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract).

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

TextWorld: A Learning Environment for Text-Based Games.

Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler

Proceedings of the Computer Games - 7th Workshop, 2018

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis.

Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Machine Learning Capabilities of a Simulated Cerebellum.

Matthew J. Hausknecht, Wen-Ke Li, Michael D. Mauk, Peter Stone

IEEE Trans. Neural Networks Learn. Syst., 2017

Neural Program Meta-Induction.

Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Deep Reinforcement Learning in Parameterized Action Space.

Matthew J. Hausknecht, Peter Stone

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Beyond short snippets: Deep networks for video classification.

Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deep Recurrent Q-Learning for Partially Observable MDPs.

Matthew J. Hausknecht, Peter Stone

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

The Impact of Determinism on Learning Atari 2600 Games.

Matthew J. Hausknecht, Peter Stone

Proceedings of the Learning for General Competency in Video Games, 2015

2014

A Neuroevolution Approach to General Atari Game Playing.

Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone

IEEE Trans. Comput. Intell. AI Games, 2014

2013

Using a million cell simulation of the cerebellum: Network scaling and task generality.

Wen-Ke Li, Matthew J. Hausknecht, Peter Stone, Michael D. Mauk

Neural Networks, 2013

2012

HyperNEAT-GGP: a hyperNEAT-based atari general game player.

Matthew J. Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Dynamic lane reversal in traffic management.

Matthew J. Hausknecht, Tsz-Chiu Au, Peter Stone, David Fajardo, S. Travis Waller

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Autonomous Intersection Management: Multi-intersection optimization.

Matthew J. Hausknecht, Tsz-Chiu Au, Peter Stone

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker.

Matthew J. Hausknecht, Peter Stone

Proceedings of the RoboCup 2010: Robot Soccer World Cup XIV [papers from the 14th annual RoboCup International Symposium, 2010

2009

Detecting Stepping-Stone Intruders with Long Connection Chains.

Wei Ding, Matthew J. Hausknecht, Shou-Hsuan Stephen Huang, Zach Riggle

Proceedings of the Fifth International Conference on Information Assurance and Security, 2009