| Addressing function approximation error in actor-critic methods S Fujimoto, H Hoof, D Meger International conference on machine learning, 1587-1596, 2018 | 6291 | 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 | 2525 | 2018 |
| Off-policy deep reinforcement learning without exploration S Fujimoto, D Meger, D Precup International conference on machine learning, 2052-2062, 2019 | 1721 | 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 | 236 | 2008 |
| Improved adversarial systems for 3d object generation and reconstruction EJ Smith, D Meger Conference on Robot Learning, 87-96, 2017 | 211 | 2017 |
| Geometrics: Exploiting geometric structure for graph-encoded objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019 | 111 | 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 | 99 | 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 | 97 | 2011 |
| 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 | 90 | 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 | 78 | 2009 |
| 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 | 70 | 2020 |
| 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 | 63 | 2017 |
| 3d shape reconstruction from vision and touch E Smith, R Calandra, A Romero, G Gkioxari, D Meger, J Malik, M Drozdzal Advances in Neural Information Processing Systems 33, 14193-14206, 2020 | 58 | 2020 |
| Addressing function approximation error in actor-critic methods. arXiv 2018 S Fujimoto, H Van Hoof, D Meger arXiv preprint arXiv:1802.09477, 1802 | 58 | 1802 |
| 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 | 57 | 2018 |
| 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 | 53 | 2020 |
| Semantic mapping for view-invariant relocalization J Li, D Meger, G Dudek 2019 International Conference on Robotics and Automation (ICRA), 7108-7115, 2019 | 50 | 2019 |
| 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 | 45 | 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 | 45 | 2015 |
| For sale: State-action representation learning for deep reinforcement learning S Fujimoto, WD Chang, E Smith, SS Gu, D Precup, D Meger Advances in Neural Information Processing Systems 36, 2024 | 44 | 2024 |
Gregory DudekProfessor of Computer Science, Center for Intelligent Machines, McGill UniversityGeverifieerd e-mailadres voor cim.mcgill.ca
