David Meger

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 104

Top Venues

CoRR

ICRA

IROS

ICML

Publications

Lucas Berry, Axel Brando, David Meger
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. CoRR (2024)
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. ICRA (2024)
Faraz Lotfi, Farnoosh Faraji, Nikhil Kakodkar, Travis Manderson, David Meger, Gregory Dudek
Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs. CoRR (2024)
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. CoRR (2023)
Lucas Berry, David Meger
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. CoRR (2023)
Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. AAAI (2023)
Zhizun Wang, David Meger
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. CoRR (2023)
Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek
Learning active tactile perception through belief-space control. CoRR (2023)
Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR (2023)
Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Xue Liu, Francois Robert Hogan
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. CoRR (2023)
Wei-Di Chang, Francois Robert Hogan, David Meger, Gregory Dudek
Generalizable Imitation Learning Through Pre-Trained Representations. CoRR (2023)
Lucas Berry, David Meger
Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators. CoRR (2023)
Lucas Berry, David Meger
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. AAAI (2023)
Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup
Policy Gradient Methods in the Presence of Symmetries and State Abstractions. CoRR (2023)
Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek
Imitation Learning from Observation through Optimal Transport. CoRR (2023)
Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Robert Hogan
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. ICRA (2023)
Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS (2023)
Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto, David Meger, Gregory Dudek
IL-flOw: Imitation Learning from Observation using Normalizing Flows. CoRR (2022)
Harley E. Wiltzer, David Meger, Marc G. Bellemare
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. ICML (2022)
Fengdi Che, Xiru Zhu, Doina Precup, David Meger, Gregory Dudek
Bayesian Q-learning With Imperfect Expert Demonstrations. CoRR (2022)
Johanna Hansen, Francois Robert Hogan, Dmitriy Rivkin, David Meger, Michael Jenkin, Gregory Dudek
Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning. ICRA (2022)
Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. CoRR (2022)
Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. NeurIPS (2022)
David Meger, Jonathan Pearce
Adaptive Confidence Calibration. AI (2022)
Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois Robert Hogan, Gregory Dudek, David Meger
Hypernetworks for Zero-shot Transfer in Reinforcement Learning. CoRR (2022)
Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Harley Wiltzer, David Meger, Marc G. Bellemare
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. CoRR (2022)
Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR (2022)
Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. ICML (2022)
Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. CoRR (2022)
Scott Fujimoto, David Meger, Doina Precup
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. ICML (2021)
Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger
Multimodal dynamics modeling for off-road autonomous vehicles. ICRA (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS (2021)
Yuying Huang, Yiming Yao, Johanna Hansen, Jeremy Mallette, Sandeep Manjanna, Gregory Dudek, David Meger
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles. CoRR (2021)
Ran Cheng, Christopher Agia, Florian Shkurti, David Meger, Gregory Dudek
Latent Attention Augmentation for Robust Autonomous Driving Policies. IROS (2021)
Haoxu Wang, David Meger
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. CRV (2021)
Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek
Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. GLOBECOM (2021)
François Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. WACV (2021)
Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. CoRR (2021)
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek
Learning Intuitive Physics with Multimodal Generative Models. AAAI (2021)
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek
Learning Intuitive Physics with Multimodal Generative Models. CoRR (2021)
Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. IROS (2021)
Scott Fujimoto, David Meger, Doina Precup
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. CoRR (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. CoRR (2021)
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
Learning Domain Randomization Distributions for Training Robust Locomotion Policies. IROS (2020)
Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger
Multimodal dynamics modeling for off-road autonomous vehicles. CoRR (2020)
Ran Cheng, Christopher Agia, David Meger, Gregory Dudek
Depth Prediction for Monocular Direct Visual Odometry. CRV (2020)
Andi Dai, David Meger
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis. SIGSPATIAL/GIS (2020)
Yi Tian Xu, Xi Chen, Xue Liu, David Meger, Gregory Dudek
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. IROS (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. NeurIPS (2020)
Scott Fujimoto, David Meger, Doina Precup
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. CoRR (2020)
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. CoRR (2020)
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles. Robotics: Science and Systems (2020)
Scott Fujimoto, David Meger, Doina Precup
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay. NeurIPS (2020)
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. CoRR (2020)
Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. ICRA (2020)
Jimmy Li, Karim Koreitem, David Meger, Gregory Dudek
View-Invariant Loop Closure with Oriented Semantic Landmarks. ICRA (2020)
Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger
Intervention Design for Effective Sim2Real Transfer. CoRR (2020)
Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. CoRR (2020)
Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. CoRR (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. CoRR (2020)
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. IROS (2020)
Daniele Di Vito, Mathieux Bergeron, David Meger, Gregory Dudek, Gianluca Antonelli
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework. CCTA (2020)
Scott Fujimoto, David Meger, Doina Precup
Off-Policy Deep Reinforcement Learning without Exploration. ICML (2019)
Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR (2019)
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. ICRA (2019)
Yi Tian Xu, Yaqiao Li, David Meger
Human Motion Prediction Via Pattern Completion in Latent Representation Space. CRV (2019)
Caleb Hoyne, S. Karthik Mukkavilli, David Meger
Deep learning for Aerosol Forecasting. CoRR (2019)
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. IROS (2019)
Yi Tian Xu, Yaqiao Li, David Meger
Human Motion Prediction via Pattern Completion in Latent Representation Space. CoRR (2019)
Jimmy Li, David Meger, Gregory Dudek
Semantic Mapping for View-Invariant Relocalization. ICRA (2019)
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger, Gregory Dudek
Detecting GAN generated errors. CoRR (2019)
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML (2019)
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR (2019)
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
Learning Domain Randomization Distributions for Transfer of Locomotion Policies. CoRR (2019)
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. CoRR (2019)
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. CoRR (2019)
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS (2018)
Scott Fujimoto, David Meger, Doina Precup
Off-Policy Deep Reinforcement Learning without Exploration. CoRR (2018)
Travis Manderson, Ran Cheng, David Meger, Gregory Dudek
Navigation in the Service of Enhanced Pose Estimation. ISER (2018)
Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. IROS (2018)
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Deep Reinforcement Learning That Matters. AAAI (2018)
Edward J. Smith, Scott Fujimoto, David Meger
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. NeurIPS (2018)
Sina Radmard, David Meger, James J. Little, Elizabeth A. Croft
Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems. IEEE Trans. Robotics 34 (3) (2018)
Scott Fujimoto, Herke van Hoof, David Meger
Addressing Function Approximation Error in Actor-Critic Methods. CoRR (2018)
Edward J. Smith, Scott Fujimoto, David Meger
3D Object Super-Resolution. CoRR (2018)
Scott Fujimoto, Herke van Hoof, David Meger
Addressing Function Approximation Error in Actor-Critic Methods. ICML (2018)
Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger
Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. ICRA (2018)
Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning. CoRR (2018)
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI (2018)
Jimmy Li, Zhaoqi Xu, David Meger, Gregory Dudek
Semantic Scene Models for Visual Localization under Large Viewpoint Changes. CRV (2018)
Edward J. Smith, David Meger
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRL (2017)
Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek
Adapting learned robotics behaviours through policy adjustment. ICRA (2017)
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. CoRR (2017)
Edward J. Smith, David Meger
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRR (2017)
Jimmy Li, David Meger, Gregory Dudek
Context-coherent scenes of objects for camera pose estimation. IROS (2017)
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR (2017)
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
Deep Reinforcement Learning that Matters. CoRR (2017)
Travis Manderson, Jimmy Li, Natasha Dudek, David Meger, Gregory Dudek
Robotic Coral Reef Health Assessment Using Automated Image Analysis. J. Field Robotics 34 (1) (2017)
Peter Henderson, Wei-Di Chang, Florian Shkurti, Johanna Hansen, David Meger, Gregory Dudek
Benchmark Environments for Multitask Learning in Continuous Domains. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Meger