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Michael I. Jordan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Michael I. Jordan
56
papers ·
2097
citations ·
163
h-index
Institut national de recherche en sciences et technologies du numérique · Sierra BioMedical (United States) · Sierra Engineering (United States) · University of California, Berkeley
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Most-cited papers
Is Q-learning Provably Efficient?
2018 · 337 citations
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · 332 citations
Ray: A Distributed Framework for Emerging AI Applications
2017 · 253 citations
Provably Efficient Reinforcement Learning with Linear Function Approximation
2019 · 219 citations
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
2018 · 169 citations
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
2019 · 74 citations
Active Learning for Nonlinear System Identification with Guarantees
2020 · 29 citations
Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
2023 · 16 citations
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
2020 · 15 citations
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning
2021 · 12 citations
Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient
2018 · 11 citations
Tactical Optimism and Pessimism for Deep Reinforcement Learning
2021 · 11 citations
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games
2019 · 9 citations
Learning to Score Behaviors for Guided Policy Optimization
2019 · 4 citations
Reinforcement Learning with Heterogeneous Data: Estimation and Inference
2022 · 4 citations
Top co-authors
Zhaoran Wang
· 9
Zhuoran Yang
· 9
Chi Jin
· 4
Aldo Pacchiano
· 3
Ion Stoica
· 3
Alain Durmus
· 2
Banghua Zhu
· 2
Jack Parker-Holder
· 2
Jiantao Jiao
· 2
Joseph E. Gonzalez
· 2
Mengdi Wang
· 2
Tianhao Wang
· 2
Topics
Value-Based
Model-Based RL
Multi-Agent
Exploration
Game AI
Policy Gradient
Offline RL
Safe RL
RLHF & Alignment
Meta-RL