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Scott Fujimoto — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Scott Fujimoto
25
papers ·
3097
citations ·
10
h-index
Intelligent Machines (Sweden)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Addressing Function Approximation Error in Actor-Critic Methods
2018 · 2370 citations
Off-Policy Deep Reinforcement Learning without Exploration
2018 · 280 citations
A Minimalist Approach to Offline Reinforcement Learning
2021 · 164 citations
Benchmarking Batch Deep Reinforcement Learning Algorithms
2019 · 160 citations
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
2018 · 90 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
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
2021 · 2 citations
Imitation Learning from Observation through Optimal Transport
2023 · 1 citations
Goal-Conditioned Agents that Learn Everything All at Once
2026
Representation Learning Enables Scalable Multitask Deep Reinforcement Learning
2026
Drift Q-Learning
2026
Hierarchical Behaviour Spaces
2026
The Surprising Difficulty of Search in Model-Based Reinforcement Learning
2026
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
2025
Top co-authors
David Meger
· 9
Doina Precup
· 6
Wei-Di Chang
· 4
Gregory Dudek
· 3
Mikael Henaff
· 3
Aaron Courville
· 2
Edoardo Conti
· 2
Jakob Foerster
· 2
Johan Obando-Ceron
· 2
Michael Matthews
· 2
Michael Rabbat
· 2
Pablo Samuel Castro
· 2
Topics
Offline RL
Model-Based RL
Value-Based
cs.LG
cs.AI
Policy Gradient
Game AI
Exploration
Meta-RL
Multi-Agent