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Dongruo Zhou — most-cited papers & profile · AI for Code
← authors
·
overview
Dongruo Zhou
25
papers ·
115
citations ·
16
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
2020 · 30 citations
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes
2020 · 23 citations
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
2020 · 21 citations
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
2020 · 9 citations
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
2021 · 6 citations
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
2021 · 4 citations
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL
2021 · 4 citations
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
2022 · 4 citations
A Frank-wolfe Framework For Efficient And Effective Adversarial Attacks
2018 · 3 citations
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games
2021 · 3 citations
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
2022 · 3 citations
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
2021 · 2 citations
Provable Multi-Objective Reinforcement Learning with Generative Models
2020 · 1 citations
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
2021 · 1 citations
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
2023 · 1 citations
Top co-authors
Haitao Mi
· 1
Junyao Yang
· 1
Kishan Panaganti
· 1
Leoweiliang
· 1
Ruhan Wang
· 1
Yucheng Shi
· 1
Yue Yu
· 1
Zhongzhi Li
· 1
Zongxia Li
· 1
Topics
Model-Based RL
Value-Based
Exploration
Offline RL
Policy Gradient
Multi-Agent
Game AI
Meta-RL
Adversarial ML