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Yuexiang Zhai — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yuexiang Zhai
13
papers ·
279
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
2023 · 20 citations
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
2022 · 12 citations
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
2024 · 8 citations
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
2025 · 7 citations
RLIF: Interactive Imitation Learning as Reinforcement Learning
2023 · 7 citations
Understanding the Complexity Gains of Single-Task RL with a Curriculum
2022 · 1 citations
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
2021
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
2023
Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement
2024
Top co-authors
Sergey Levine
· 7
Yi Ma
· 4
Saining Xie
· 2
Shengbang Tong
· 2
Abhishek Gupta
· 1
Alane Suhr
· 1
Aldo Pacchiano
· 1
Andrea Zanette
· 1
Anikait Singh
· 1
Aviral Kumar
· 1
Charles Sun
· 1
Charlie Snell
· 1
Topics
Model-Based RL
Value-Based
Exploration
RLHF & Alignment
Offline RL
Policy Gradient
Meta-RL
Multi-Agent
Game AI