David Meger
David Meger
Assistant Professor at McGill University
Email verificata su cim.mcgill.ca - Home page
Citata da
Citata da
Deep reinforcement learning that matters
P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger
arXiv preprint arXiv:1709.06560, 2017
Addressing function approximation error in actor-critic methods
S Fujimoto, H Van Hoof, D Meger
arXiv preprint arXiv:1802.09477, 2018
Curious george: An attentive semantic robot
D Meger, PE ForssÚn, K Lai, S Helmer, S McCann, T Southey, ...
Robotics and Autonomous Systems 56 (6), 503-511, 2008
Off-policy deep reinforcement learning without exploration
S Fujimoto, D Meger, D Precup
International Conference on Machine Learning, 2052-2062, 2019
Informed visual search: Combining attention and object recognition
PE ForssÚn, D Meger, K Lai, S Helmer, JJ Little, DG Lowe
2008 IEEE International Conference on Robotics and Automation, 935-942, 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
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
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
Improved adversarial systems for 3d object generation and reconstruction
E Smith, D Meger
arXiv preprint arXiv:1707.09557, 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
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
Explicit Occlusion Reasoning for 3D Object Detection.
D Meger, C Wojek, JJ Little, B Schiele
BMVC, 1-11, 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 Systemsá…, 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
Multiple viewpoint recognition and localization
S Helmer, D Meger, M Muja, JJ Little, DG Lowe
Asian Conference on Computer Vision, 464-477, 2010
GEOMetrics: Exploiting geometric structure for graph-encoded objects
EJ Smith, S Fujimoto, A Romero, D Meger
arXiv preprint arXiv:1901.11461, 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
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
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
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
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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