Matthew Hausknecht
Matthew Hausknecht
Microsoft Research
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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
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
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
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
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
Neural program meta-induction
J Devlin, RR Bunel, R Singh, M Hausknecht, P Kohli
Advances in Neural Information Processing Systems, 2080-2088, 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, 2016
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
Learning powerful kicks on the aibo ers-7: The quest for a striker
M Hausknecht, P Stone
Robot Soccer World Cup, 254-265, 2010
Textworld: A learning environment for text-based games
MA Côté, Á Kádár, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ...
Workshop on Computer Games, 41-75, 2018
The Impact of Determinism on Learning Atari 2600 Games.
MJ Hausknecht, P Stone
AAAI Workshop: Learning for General Competency in Video Games, 2015
Cooperation and communication in multiagent deep reinforcement learning
MJ Hausknecht
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
Coronary-subclavian steal: correction of recurrent angina and cerebrovascular symptoms.
SM George Jr, GP Noon, MJ Hausknecht
The Journal of cardiovascular surgery 32 (4), 523-526, 1991
On-policy vs. off-policy updates for deep reinforcement learning
M Hausknecht, P Stone
Deep Reinforcement Learning: Frontiers and Challenges, IJCAI 2016 Workshop, 2016
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