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Remi Munos — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Remi Munos
24
papers ·
2201
citations ·
62
h-index
Google DeepMind (United Kingdom) · Microsoft Research (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
2018 · 613 citations
Noisy Networks for Exploration
2017 · 391 citations
A Study on Overfitting in Deep Reinforcement Learning
2018 · 238 citations
Sample Efficient Actor-Critic with Experience Replay
2016 · 222 citations
Maximum a Posteriori Policy Optimisation
2018 · 167 citations
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
2022 · 150 citations
Combining policy gradient and Q-learning
2016 · 94 citations
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
2018 · 71 citations
The Uncertainty Bellman Equation and Exploration
2017 · 59 citations
Minimax Regret Bounds for Reinforcement Learning
2017 · 51 citations
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
2017 · 28 citations
Observational Learning by Reinforcement Learning
2017 · 27 citations
Q($λ$) with Off-Policy Corrections
2016 · 23 citations
The Termination Critic
2019 · 19 citations
Hindsight Credit Assignment
2019 · 17 citations
Top co-authors
Will Dabney
· 6
Bilal Piot
· 5
Mohammad Gheshlaghi Azar
· 4
Nicolas Heess
· 4
Anna Harutyunyan
· 3
Audrunas Gruslys
· 3
Daniele Calandriello
· 3
Diana Borsa
· 3
Ian Osband
· 3
Julien Perolat
· 3
Karl Tuyls
· 3
Koray Kavukcuoglu
· 3
Topics
Value-Based
Exploration
Game AI
Policy Gradient
Model-Based RL
Multi-Agent
Offline RL
RLHF & Alignment
Meta-RL
Safe RL