| 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 | 2653 | 2015 |
| Deep recurrent q-learning for partially observable mdps M Hausknecht, P Stone arXiv preprint arXiv:1507.06527, 2015 | 1596 | 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 | 474 | 2018 |
| Deep reinforcement learning in parameterized action space M Hausknecht, P Stone arXiv preprint arXiv:1511.04143, 2015 | 314 | 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 | 234 | 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 | 184 | 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 | 181 | 2019 |
| Autonomous intersection management: Multi-intersection optimization M Hausknecht, TC Au, P Stone 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 172 | 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 | 107 | 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 | 102 | 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 | 86 | 2020 |
| Neural program meta-induction J Devlin, RR Bunel, R Singh, M Hausknecht, P Kohli Advances in Neural Information Processing Systems 30, 2017 | 80 | 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 | 79 | 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 | 77 | 2012 |
| Cooperation and communication in multiagent deep reinforcement learning MJ Hausknecht | 76 | 2016 |
| Graph constrained reinforcement learning for natural language action spaces P Ammanabrolu, M Hausknecht arXiv preprint arXiv:2001.08837, 2020 | 72 | 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 | 67 | 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 | 54 | 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 | 53 | 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 | 47 | 2018 |
