| Addressing function approximation error in actor-critic methods S Fujimoto, H Hoof, D Meger International conference on machine learning, 1587-1596, 2018 | 3441 | 2018 |
| Deep reinforcement learning that matters P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 1808 | 2018 |
| Off-policy deep reinforcement learning without exploration S Fujimoto, D Meger, D Precup International conference on machine learning, 2052-2062, 2019 | 919 | 2019 |
| 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 | 231 | 2008 |
| Improved adversarial systems for 3d object generation and reconstruction EJ Smith, D Meger Conference on Robot Learning, 87-96, 2017 | 156 | 2017 |
| 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 | 96 | 2008 |
| Fine-grained categorization for 3d scene understanding M Stark, J Krause, B Pepik, D Meger, JJ Little, B Schiele, D Koller International Journal of Robotics Research 30 (13), 1543-1552, 2011 | 94 | 2011 |
| Geometrics: Exploiting geometric structure for graph-encoded objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019 | 89 | 2019 |
| 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 | 88 | 2006 |
| 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 | 80 | 2009 |
| Optiongan: Learning joint reward-policy options using generative adversarial inverse reinforcement learning P Henderson, WD Chang, PL Bacon, D Meger, J Pineau, D Precup Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 75 | 2018 |
| 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 | 51 | 2017 |
| Multi-view silhouette and depth decomposition for high resolution 3d object representation E Smith, S Fujimoto, D Meger Advances in Neural Information Processing Systems 31, 2018 | 47 | 2018 |
| Synthesizing neural network controllers with probabilistic model-based reinforcement learning JCG Higuera, D Meger, G Dudek 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 41 | 2018 |
| 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 | 41 | 2015 |
| Vision-based goal-conditioned policies for underwater navigation in the presence of obstacles T Manderson, JCG Higuera, S Wapnick, JF Tremblay, F Shkurti, D Meger, ... arXiv preprint arXiv:2006.16235, 2020 | 35 | 2020 |
| Explicit Occlusion Reasoning for 3D Object Detection. D Meger, C Wojek, JJ Little, B Schiele BMVC, 1-11, 2011 | 35 | 2011 |
| An equivalence between loss functions and non-uniform sampling in experience replay S Fujimoto, D Meger, D Precup Advances in neural information processing systems 33, 14219-14230, 2020 | 34 | 2020 |
| 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 | 33 | 2010 |
| Multiple viewpoint recognition and localization S Helmer, D Meger, M Muja, JJ Little, DG Lowe Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011 | 32 | 2011 |
Gregory DudekProfessor of Computer Science, Center for Intelligent Machines, McGill UniversityVerified email at cim.mcgill.ca
