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Ruslan Salakhutdinov — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ruslan Salakhutdinov
64
papers ·
2125
citations ·
92
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Neural Map: Structured Memory for Deep Reinforcement Learning
2017 · 102 citations
Efficient Exploration via State Marginal Matching
2019 · 97 citations
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
2019 · 96 citations
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
2019 · 47 citations
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
2019 · 39 citations
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
2021 · 35 citations
Worst Cases Policy Gradients
2019 · 34 citations
On Reward-Free Reinforcement Learning with Linear Function Approximation
2020 · 33 citations
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
2020 · 30 citations
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
2021 · 25 citations
Contrastive Learning as Goal-Conditioned Reinforcement Learning
2022 · 24 citations
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
2020 · 15 citations
Concurrent Meta Reinforcement Learning
2019 · 14 citations
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
2021 · 14 citations
Robust Predictable Control
2021 · 12 citations
Top co-authors
Benjamin Eysenbach
· 14
Sergey Levine
· 11
Emilio Parisotto
· 4
Fahim Tajwar
· 4
Ruosong Wang
· 4
Brandon Houghton
· 3
Jeff Schneider
· 3
Lin F. Yang
· 3
Nicholay Topin
· 3
William H. Guss
· 3
Chelsea Finn
· 2
Jian Zhang
· 2
Topics
Model-Based RL
Exploration
Offline RL
Value-Based
Meta-RL
Policy Gradient
RLHF & Alignment
Multi-Agent
Game AI
Safe RL