David Meger

David Meger

McGill University

H-index: 25

North America-Canada

About David Meger

David Meger, With an exceptional h-index of 25 and a recent h-index of 21 (since 2020), a distinguished researcher at McGill University, specializes in the field of Robotics, Machine Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs

For sale: State-action representation learning for deep reinforcement learning

Policy Gradient Methods in the Presence of Symmetries and State Abstractions

Normalizing flow ensembles for rich aleatoric and epistemic uncertainty modeling

Casting Light on Large Generative Networks: Taming Epistemic Uncertainty in Diffusion Models

Imitation Learning from Observation through Optimal Transport

Hypernetworks for zero-shot transfer in reinforcement learning

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model

David Meger Information

University

Position

Assistant Professor at

Citations(all)

9958

Citations(since 2020)

8894

Cited By

3184

hIndex(all)

25

hIndex(since 2020)

21

i10Index(all)

49

i10Index(since 2020)

36

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

David Meger Skills & Research Interests

Robotics

Machine Learning

Computer Vision

Top articles of David Meger

Title

Journal

Author(s)

Publication Date

Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs

arXiv preprint arXiv:2404.02294

Faraz Lotfi

Farnoosh Faraji

Nikhil Kakodkar

Travis Manderson

David Meger

...

2024/4/2

For sale: State-action representation learning for deep reinforcement learning

Advances in Neural Information Processing Systems

Scott Fujimoto

Wei-Di Chang

Edward Smith

Shixiang Shane Gu

Doina Precup

...

2024/2/13

Policy Gradient Methods in the Presence of Symmetries and State Abstractions

Journal of Machine Learning Research

Prakash Panangaden

Sahand Rezaei-Shoshtari

Rosie Zhao

David Meger

Doina Precup

2024

Normalizing flow ensembles for rich aleatoric and epistemic uncertainty modeling

Proceedings of the AAAI Conference on Artificial Intelligence

Lucas Berry

David Meger

2023/6/26

Casting Light on Large Generative Networks: Taming Epistemic Uncertainty in Diffusion Models

Lucas Berry

Axel Brando

David Meger

2023/10/13

Imitation Learning from Observation through Optimal Transport

arXiv preprint arXiv:2310.01632

Wei-Di Chang

Scott Fujimoto

David Meger

Gregory Dudek

2023/10/2

Hypernetworks for zero-shot transfer in reinforcement learning

Proceedings of the AAAI Conference on Artificial Intelligence

Sahand Rezaei-Shoshtari

Charlotte Morissette

Francois R Hogan

Gregory Dudek

David Meger

2023/6/26

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model

arXiv preprint arXiv:2310.00760

Faraz Lotfi

Khalil Virji

Farnoosh Faraji

Lucas Berry

Andrew Holliday

...

2023/10/1

Ansel photobot: A robot event photographer with semantic intelligence

Dmitriy Rivkin

Gregory Dudek

Nikhil Kakodkar

David Meger

Oliver Limoyo

...

2023/5/29

Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2309.04615

Zhizun Wang

David Meger

2023/9/8

Semitransparent tactile surface sensor and a method of sensing an interaction with an object using the semitransparent tactile surface sensor

2023/5/23

Generalizable Imitation Learning Through Pre-Trained Representations

arXiv preprint arXiv:2311.09350

Wei-Di Chang

Francois Hogan

David Meger

Gregory Dudek

2023/11/15

Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators

arXiv preprint arXiv:2308.13498

Lucas Berry

David Meger

2023/8/25

Multi-batch reinforcement learning via multi-imitation learning

2023/4/6

Learning active tactile perception through belief-space control

2023/11/2

Distributional hamilton-jacobi-bellman equations for continuous-time reinforcement learning

Harley E Wiltzer

David Meger

Marc G Bellemare

2022/6/28

Learning Successor Feature Representations to Train Robust Policies for Multi-task Learning

Melissa Mozifian

Dieter Fox

David Meger

Fabio Ramos

Animesh Garg

2022/12

Visuotactile-rl: Learning multimodal manipulation policies with deep reinforcement learning

Johanna Hansen

Francois Hogan

Dmitriy Rivkin

David Meger

Michael Jenkin

...

2022/5/23

Continuous mdp homomorphisms and homomorphic policy gradient

Advances in Neural Information Processing Systems

Sahand Rezaei-Shoshtari

Rosie Zhao

Prakash Panangaden

David Meger

Doina Precup

2022/12/6

Il-flow: Imitation learning from observation using normalizing flows

arXiv preprint arXiv:2205.09251

Wei-Di Chang

Juan Camilo Gamboa Higuera

Scott Fujimoto

David Meger

Gregory Dudek

2022/5/19

See List of Professors in David Meger University(McGill University)

Co-Authors

H-index: 63
Doina Precup

Doina Precup

McGill University

H-index: 52
Gregory Dudek

Gregory Dudek

McGill University

H-index: 42
Ioannis Rekleitis

Ioannis Rekleitis

University of South Carolina

H-index: 27
Herke van Hoof

Herke van Hoof

Universiteit van Amsterdam

H-index: 22
Peter Henderson

Peter Henderson

Stanford University

H-index: 11
Scott Fujimoto

Scott Fujimoto

McGill University

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