Matthew Hausknecht
Matthew Hausknecht
Microsoft Research
Verified email at microsoft.com - Homepage
TitleCited byYear
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
14042015
Deep recurrent q-learning for partially observable mdps
M Hausknecht, P Stone
2015 AAAI Fall Symposium Series, 2015
5212015
Anthropology on the Warpath in Thailand
ER Wolf, JG Jorgensen
The New York Review of Books 15 (9), 26-35, 1970
263*1970
Deep reinforcement learning in parameterized action space
M Hausknecht, P Stone
arXiv preprint arXiv:1511.04143, 2015
1492015
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
1432018
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
1392014
Autonomous intersection management: Multi-intersection optimization
M Hausknecht, TC Au, P Stone
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems…, 2011
982011
For want of a nail: How absences cause events.
P Wolff, AK Barbey, M Hausknecht
Journal of Experimental Psychology: General 139 (2), 191, 2010
702010
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
582012
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
512011
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
412018
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
322016
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
292013
Learning powerful kicks on the aibo ers-7: The quest for a striker
M Hausknecht, P Stone
Robot Soccer World Cup, 254-265, 2010
282010
Neural program meta-induction
J Devlin, RR Bunel, R Singh, M Hausknecht, P Kohli
Advances in Neural Information Processing Systems, 2080-2088, 2017
272017
The impact of determinism on learning atari 2600 games
M Hausknecht, P Stone
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
212015
Textworld: A learning environment for text-based games
MA Ct, Kdr, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ...
Workshop on Computer Games, 41-75, 2018
202018
Cooperation and communication in multiagent deep reinforcement learning
MJ Hausknecht
182016
Vision calibration and processing on a humanoid soccer robot
P Khandelwal, M Hausknecht, J Lee, A Tian, P Stone
The Fifth Workshop on Humanoid Soccer Robots, 2010
142010
On-policy vs. off-policy updates for deep reinforcement learning
M Hausknecht, P Stone
Deep Reinforcement Learning: Frontiers and Challenges, IJCAI 2016 Workshop, 2016
112016
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