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Learning Intuitive Physics with Multimodal Generative Models


Jan 19, 2021
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek

* AAAI 2021 

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Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor


Dec 14, 2020
Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh Girdhar, David Meger, Gregory Dudek

* A version of this paper appears in WACV 2021 

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Intervention Design for Effective Sim2Real Transfer


Dec 03, 2020
Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger


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Multimodal dynamics modeling for off-road autonomous vehicles


Nov 23, 2020
Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger


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Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference


Jul 22, 2020
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf

* IROS2020. Copyright 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay


Jul 12, 2020
Scott Fujimoto, David Meger, Doina Precup


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3D Shape Reconstruction from Vision and Touch


Jul 07, 2020
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

* Submitted for review 

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Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles


Jun 29, 2020
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek

* RSS 2020. Video and project details can be found at http://www.cim.mcgill.ca/mrl/nav2goal/ 

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Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images


Apr 09, 2020
Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek

* ICRA 2020. Video and project details can be found at http://www.cim.mcgill.ca/mrl/offroad_driving/ 

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Detecting GAN generated errors


Dec 02, 2019
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzuyang Yu, David Meger, Gregory Dudek


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Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales


Oct 23, 2019
Sanjay Thakur, Herke Van Hoof, Gunshi Gupta, David Meger


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Deep learning for Aerosol Forecasting


Oct 14, 2019
Caleb Hoyne, S. Karthik Mukkavilli, David Meger

* Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning


Oct 05, 2019
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf

* IROS2019. Copyright 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Learning Domain Randomization Distributions for Transfer of Locomotion Policies


Jun 02, 2019
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek


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Human Motion Prediction via Pattern Completion in Latent Representation Space


Apr 18, 2019
Yi Tian Xu, Yaqiao Li, David Meger

* Accepted in the 16th Conference on Computer and Robot Vision (CRV 2019) 

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Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks


Mar 13, 2019
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger

* Copyright 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects


Jan 31, 2019
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger

* 18 pages 

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Off-Policy Deep Reinforcement Learning without Exploration


Dec 07, 2018
Scott Fujimoto, David Meger, Doina Precup


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Addressing Function Approximation Error in Actor-Critic Methods


Oct 22, 2018
Scott Fujimoto, Herke van Hoof, David Meger

* Accepted at ICML 2018 

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Cost Adaptation for Robust Decentralized Swarm Behaviour


Sep 30, 2018
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates

* Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 

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Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning


Aug 01, 2018
Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek

* 8 pages, 7 figures 

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Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation


May 31, 2018
Edward Smith, Scott Fujimoto, David Meger

* 11 pages 

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Bayesian Policy Gradients via Alpha Divergence Dropout Inference


Dec 06, 2017
Peter Henderson, Thang Doan, Riashat Islam, David Meger

* Accepted to Bayesian Deep Learning Workshop at NIPS 2017 

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Deep Reinforcement Learning that Matters


Nov 24, 2017
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger

* Accepted to the Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 

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OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning


Nov 24, 2017
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup

* Accepted to the Thirthy-Second AAAI Conference On Artificial Intelligence (AAAI), 2018 

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Improved Adversarial Systems for 3D Object Generation and Reconstruction


Oct 30, 2017
Edward Smith, David Meger

* 10 pages, accepted at CORL. Figures are best view in color, and details only appear when zoomed in 

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Benchmark Environments for Multitask Learning in Continuous Domains


Aug 14, 2017
Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek

* Accepted at Lifelong Learning: A Reinforcement Learning Approach Workshop @ ICML, Sydney, Australia, 2017 

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Semantic Robot Vision Challenge: Current State and Future Directions


Aug 19, 2009
Scott Helmer, David Meger, Pooja Viswanathan, Sancho McCann, Matthew Dockrey, Pooyan Fazli, Tristram Southey, Marius Muja, Michael Joya, Jim Little, David Lowe, Alan Mackworth

* The IJCAI-09 Workshop on Competitions in Artificial Intelligence and Robotics, Pasadena, California, USA, July 11-17, 2009 

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