Следене
Matthew Hausknecht
Matthew Hausknecht
Latitude AI
Потвърден имейл адрес: microsoft.com - Начална страница
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Позовавания
Позовавания
Година
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
31282015
Deep recurrent q-learning for partially observable mdps
M Hausknecht, P Stone
2015 aaai fall symposium series, 2015
23272015
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
6622018
Deep reinforcement learning in parameterized action space
M Hausknecht, P Stone
arXiv preprint arXiv:1511.04143, 2015
4112015
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
3412020
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
3322019
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
2602014
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
2462018
Autonomous intersection management: Multi-intersection optimization
M Hausknecht, TC Au, P Stone
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
2052011
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
1982020
Cooperation and communication in multiagent deep reinforcement learning
MJ Hausknecht
1812016
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
1282020
For want of a nail: How absences cause events.
P Wolff, AK Barbey, M Hausknecht
Journal of Experimental Psychology: General 139 (2), 191, 2010
1262010
Graph constrained reinforcement learning for natural language action spaces
P Ammanabrolu, M Hausknecht
arXiv preprint arXiv:2001.08837, 2020
1232020
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
1212011
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
1062016
Neural program meta-induction
J Devlin, RR Bunel, R Singh, M Hausknecht, P Kohli
Advances in Neural Information Processing Systems 30, 2017
922017
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
812012
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
732013
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
622018
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