| Deep reinforcement learning that matters P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger arXiv preprint arXiv:1709.06560, 2017 | 717 | 2017 |
| Addressing function approximation error in actor-critic methods S Fujimoto, H Van Hoof, D Meger arXiv preprint arXiv:1802.09477, 2018 | 590 | 2018 |
| Curious george: An attentive semantic robot D Meger, PE Forssén, K Lai, S Helmer, S McCann, T Southey, ... Robotics and Autonomous Systems 56 (6), 503-511, 2008 | 210 | 2008 |
| Off-policy deep reinforcement learning without exploration S Fujimoto, D Meger, D Precup International Conference on Machine Learning, 2052-2062, 2019 | 135 | 2019 |
| Informed visual search: Combining attention and object recognition PE Forssén, D Meger, K Lai, S Helmer, JJ Little, DG Lowe 2008 IEEE International Conference on Robotics and Automation, 935-942, 2008 | 87 | 2008 |
| Simultaneous planning, localization, and mapping in a camera sensor network I Rekleitis, D Meger, G Dudek Robotics and Autonomous Systems 54 (11), 921-932, 2006 | 82 | 2006 |
| Fine-grained categorization for 3D scene understanding [J] M Stark, J Krause, B Pepik, D Meger, JJ Little, B Schiele, D Koller International Journal of Robotics Research 30 (13), 1543-1552, 2011 | 77 | 2011 |
| Automated spatial-semantic modeling with applications to place labeling and informed search P Viswanathan, D Meger, T Southey, JJ Little, AK Mackworth 2009 Canadian Conference on Computer and Robot Vision, 284-291, 2009 | 72 | 2009 |
| Improved adversarial systems for 3d object generation and reconstruction E Smith, D Meger arXiv preprint arXiv:1707.09557, 2017 | 68 | 2017 |
| Optiongan: Learning joint reward-policy options using generative adversarial inverse reinforcement learning P Henderson, WD Chang, PL Bacon, D Meger, J Pineau, D Precup arXiv preprint arXiv:1709.06683, 2017 | 33 | 2017 |
| Curious george: An integrated visual search platform D Meger, M Muja, S Helmer, A Gupta, C Gamroth, T Hoffman, M Baumann, ... 2010 Canadian Conference on Computer and Robot Vision, 107-114, 2010 | 31 | 2010 |
| Explicit Occlusion Reasoning for 3D Object Detection. D Meger, C Wojek, JJ Little, B Schiele BMVC, 1-11, 2011 | 28 | 2011 |
| 3d trajectory synthesis and control for a legged swimming robot D Meger, F Shkurti, DC Poza, P Giguere, G Dudek 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 27 | 2014 |
| Learning legged swimming gaits from experience D Meger, JCG Higuera, A Xu, P Giguere, G Dudek 2015 IEEE International Conference on Robotics and Automation (ICRA), 2332-2338, 2015 | 26 | 2015 |
| Multiple viewpoint recognition and localization S Helmer, D Meger, M Muja, JJ Little, DG Lowe Asian Conference on Computer Vision, 464-477, 2010 | 26 | 2010 |
| GEOMetrics: Exploiting geometric structure for graph-encoded objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019 | 24 | 2019 |
| Multi-view silhouette and depth decomposition for high resolution 3d object representation E Smith, S Fujimoto, D Meger Advances in Neural Information Processing Systems, 6478-6488, 2018 | 24 | 2018 |
| Viewpoint detection models for sequential embodied object category recognition D Meger, A Gupta, JJ Little 2010 IEEE International Conference on Robotics and Automation, 5055-5061, 2010 | 24 | 2010 |
| Benchmark environments for multitask learning in continuous domains P Henderson, WD Chang, F Shkurti, J Hansen, D Meger, G Dudek arXiv preprint arXiv:1708.04352, 2017 | 23 | 2017 |
| Inferring a probability distribution function for the pose of a sensor network using a mobile robot D Meger, D Marinakis, I Rekleitis, G Dudek 2009 IEEE International Conference on Robotics and Automation, 756-762, 2009 | 20 | 2009 |
Gregory DudekProfessor of Computer Science, Center for Intelligent Machines, McGill UniversityVerified email at cim.mcgill.ca
