Matthew Hausknecht
Matthew Hausknecht
Latitude AI
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Beyond short snippets: Deep networks for video classification
J Yue-Hei Ng, M Hausknecht, S Vijayanarasimhan, O Vinyals, R Monga, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Deep recurrent q-learning for partially observable mdps
M Hausknecht, P Stone
arXiv preprint arXiv:1507.06527, 2015
Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents
MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ...
Journal of Artificial Intelligence Research 61, 523-562, 2018
Deep reinforcement learning in parameterized action space
M Hausknecht, P Stone
arXiv preprint arXiv:1511.04143, 2015
A neuroevolution approach to general atari game playing
M Hausknecht, J Lehman, R Miikkulainen, P Stone
IEEE Transactions on Computational Intelligence and AI in Games 6 (4), 355-366, 2014
Leveraging grammar and reinforcement learning for neural program synthesis
R Bunel, M Hausknecht, J Devlin, R Singh, P Kohli
arXiv preprint arXiv:1805.04276, 2018
Textworld: A learning environment for text-based games
MA Côté, A Kádár, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ...
Computer Games: 7th Workshop, CGW 2018, Held in Conjunction with the 27th …, 2019
Autonomous intersection management: Multi-intersection optimization
M Hausknecht, TC Au, P Stone
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
For want of a nail: How absences cause events.
P Wolff, AK Barbey, M Hausknecht
Journal of Experimental Psychology: General 139 (2), 191, 2010
Dynamic lane reversal in traffic management
M Hausknecht, TC Au, P Stone, D Fajardo, T Waller
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
Interactive fiction games: A colossal adventure
M Hausknecht, P Ammanabrolu, MA Côté, X Yuan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7903-7910, 2020
Neural program meta-induction
J Devlin, RR Bunel, R Singh, M Hausknecht, P Kohli
Advances in Neural Information Processing Systems 30, 2017
Half field offense: An environment for multiagent learning and ad hoc teamwork
M Hausknecht, P Mupparaju, S Subramanian, S Kalyanakrishnan, ...
AAMAS Adaptive Learning Agents (ALA) Workshop 3, 2016
HyperNEAT-GGP: A HyperNEAT-based Atari general game player
M Hausknecht, P Khandelwal, R Miikkulainen, P Stone
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
Cooperation and communication in multiagent deep reinforcement learning
MJ Hausknecht
Graph constrained reinforcement learning for natural language action spaces
P Ammanabrolu, M Hausknecht
arXiv preprint arXiv:2001.08837, 2020
Alfworld: Aligning text and embodied environments for interactive learning
M Shridhar, X Yuan, MA Côté, Y Bisk, A Trischler, M Hausknecht
arXiv preprint arXiv:2010.03768, 2020
Using a million cell simulation of the cerebellum: Network scaling and task generality
WK Li, MJ Hausknecht, P Stone, MD Mauk
Neural networks 47, 95-102, 2013
Keep calm and explore: Language models for action generation in text-based games
S Yao, R Rao, M Hausknecht, K Narasimhan
arXiv preprint arXiv:2010.02903, 2020
Counting to explore and generalize in text-based games
X Yuan, MA Côté, A Sordoni, R Laroche, RT Combes, M Hausknecht, ...
arXiv preprint arXiv:1806.11525, 2018
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