Sotabase

Career

· Associate Professor, School Of Computer Science, McGill University (Current)2015–
· Postdoctoral Researcher, Robotics and Computer Vision, McGill University2013–2015
· Senior Researcher And Partner, Kinsol Research Inc.2009–
· Research Engineer, GEOSYS Technology Solutions Inc2007–2009
· PhD Candidate, The University of British Columbia2006–2013
· PhD, Computer Science, The University of British Columbia2006–2013
· MSc, Computer Science - Robotics and Sensor Networks, McGill University2004–2006
· Software Engineer Coop Student, MacDonald, Dettwiler and Associates Ltd. (MDA)2002–2002
· B.Sc., Honor's Computer Science, University of British Columbia1999–2004

Publications (119)

Addressing Function Approximation Error in Actor-Critic Methods
International Conference on Machine Learning · 2018
6,328
cited
Deep Reinforcement Learning that Matters
AAAI Conference on Artificial Intelligence · 2017
2,173
cited
Off-Policy Deep Reinforcement Learning without Exploration
International Conference on Machine Learning · 2018
1,876
cited
Curious George: An attentive semantic robot
Robotics Auton. Syst. · 2008
211
cited
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Conference on Robot Learning · 2017
179
cited
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
International Conference on Machine Learning · 2019
96
cited
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Neural Information Processing Systems · 2023
90
cited
Simultaneous planning, localization, and mapping in a camera sensor network
Robotics Auton. Syst. · 2006
85
cited
3D Shape Reconstruction from Vision and Touch
Neural Information Processing Systems · 2020
82
cited
Informed visual search: Combining attention and object recognition
IEEE International Conference on Robotics and Automation · 2008
80
cited
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
AAAI Conference on Artificial Intelligence · 2017
76
cited
Fine-Grained Categorization for 3D Scene Understanding
British Machine Vision Conference · 2012
74
cited
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Neural Information Processing Systems · 2020
69
cited
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search
Canadian Conference on Computer and Robot Vision · 2009
63
cited
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Robotics: Science and Systems · 2020
57
cited
Active 3D Shape Reconstruction from Vision and Touch
Neural Information Processing Systems · 2021
56
cited
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Neural Information Processing Systems · 2018
56
cited
Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2022
56
cited
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2020
49
cited
Semantic Mapping for View-Invariant Relocalization
IEEE International Conference on Robotics and Automation · 2019
46
cited
Sotabase