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Qingwei Lin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Qingwei Lin
28
papers ·
174
citations ·
37
h-index
Microsoft (United States) · Microsoft Research Asia (China)
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Semantic Scholar ↗
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Most-cited papers
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
2024 · 9 citations
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
2022 · 2 citations
Conservative State Value Estimation for Offline Reinforcement Learning
2023 · 2 citations
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
2024 · 1 citations
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
2024 · 1 citations
Self-Evolved Reward Learning for LLMs
2024 · 1 citations
Text2Grad: Reinforcement Learning from Natural Language Feedback
2025
Pretrain Value, Not Reward: Decoupled Value Policy Optimization
2025
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
2025
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
2024
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
2024
Top co-authors
Fangkai Yang
· 5
Saravan Rajmohan
· 4
Dongmei Zhang
· 3
Hang Dong
· 3
Lu Wang
· 3
Alois Knoll
· 2
Bilgehan Sel
· 2
Bo Qiao
· 2
Chaoyun Zhang
· 2
Chenghua Huang
· 2
Dongmei Zhang
· 2
Lu Wang
· 2
Topics
RLHF & Alignment
Policy Gradient
Value-Based
Offline RL
Safe RL
Multi-Agent
Model-Based RL
Exploration
Game AI
Meta-RL