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Stuart Russell — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stuart Russell
14
papers ·
518
citations ·
66
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Cooperative Inverse Reinforcement Learning
2016 · 326 citations
Adversarial Policies: Attacking Deep Reinforcement Learning
2019 · 92 citations
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
2020 · 40 citations
Inverse reinforcement learning for video games
2018 · 22 citations
MADE: Exploration via Maximizing Deviation from Explored Regions
2021 · 11 citations
Quantifying Differences in Reward Functions
2020 · 10 citations
Scalable Online Planning via Reinforcement Learning Fine-Tuning
2021 · 5 citations
Understanding Learned Reward Functions
2020 · 4 citations
The MineRL BASALT Competition on Learning from Human Feedback
2021 · 4 citations
Multi-Principal Assistance Games
2020 · 2 citations
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
2021 · 2 citations
Explore and Control with Adversarial Surprise
2021
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
2024
RL, but don't do anything I wouldn't do
2024
Top co-authors
Adam Gleave
· 4
Anca Dragan
· 3
Arnaud Fickinger
· 3
Michael Dennis
· 3
Sergey Levine
· 3
Cody Wild
· 2
Dylan Hadfield-Menell
· 2
Jiantao Jiao
· 2
Natasha Jaques
· 2
Paria Rashidinejad
· 2
Pieter Abbeel
· 2
Aaron David Tucker
· 1
Topics
RLHF & Alignment
Multi-Agent
Model-Based RL
Safe RL
Game AI
Exploration
Value-Based
Meta-RL
Offline RL