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Gen Li — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gen Li
2
papers ·
3
citations ·
16
h-index
Chinese University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
2023 · 3 citations
High-probability sample complexities for policy evaluation with linear function approximation
2023
Top co-authors
Yuejie Chi
· 2
Alessandro Rinaldo
· 1
Cong Ma
· 1
Jason D. Lee
· 1
Weichen Wu
· 1
Wenhao Zhan
· 1
Yuting Wei
· 1
Yuxin Chen
· 1
Topics
Offline RL
Model-Based RL
Exploration
Policy Gradient
Value-Based