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David Meger — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Meger
27
papers ·
3124
citations ·
22
h-index
McGill University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Addressing Function Approximation Error in Actor-Critic Methods
2018 · 2370 citations
Deep Reinforcement Learning that Matters
2017 · 366 citations
Off-Policy Deep Reinforcement Learning without Exploration
2018 · 280 citations
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
2023 · 16 citations
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
2020 · 14 citations
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning
2018 · 3 citations
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
2022 · 3 citations
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
2021 · 2 citations
NeurIPS 2022 Competition: Driving SMARTS
2022 · 2 citations
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
2020 · 1 citations
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
2023 · 1 citations
Imitation Learning from Observation through Optimal Transport
2023 · 1 citations
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
2024 · 1 citations
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
2026
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
2025
Top co-authors
Doina Precup
· 9
Scott Fujimoto
· 5
Gregory Dudek
· 4
Sahand Rezaei-Shoshtari
· 4
Wei-Di Chang
· 4
Harley Wiltzer
· 3
Marc G. Bellemare
· 3
Scott Fujimoto
· 3
Joelle Pineau
· 2
Juan Camilo Gamboa Higuera
· 2
Patrick Shafto
· 2
Peter Henderson
· 2
Topics
Model-Based RL
Value-Based
Policy Gradient
Offline RL
Exploration
Multi-Agent
Meta-RL
Safe RL
Game AI
RLHF & Alignment