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Dahua Lin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dahua Lin
82
papers ·
2089
citations ·
90
h-index
Chinese University of Hong Kong · Shanghai Artificial Intelligence Laboratory
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
IRLAS: Inverse Reinforcement Learning for Architecture Search
2018 · 8 citations
Policy Continuation with Hindsight Inverse Dynamics
2019 · 7 citations
Novel Policy Seeking with Constrained Optimization
2020 · 3 citations
Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
2025
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
2025
OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
2025
Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
2025
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
2025
Visual Agentic Reinforcement Fine-Tuning
2025
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
2025
Improving On-policy Learning with Statistical Reward Accumulation
2018
Biased Estimates of Advantages over Path Ensembles
2019
Evolutionary Stochastic Policy Distillation
2020
Top co-authors
Songyang Gao
· 5
Kuikun Liu
· 4
Bolei Zhou
· 3
Jianfei Gao
· 3
Chengqi Lyu
· 2
Haian Huang
· 2
Haiteng Zhao
· 2
Hao Sun
· 2
Junhao Shen
· 2
Kai Chen
· 2
Tianyou Ma
· 2
Wenwei Zhang
· 2
Topics
Model-Based RL
Policy Gradient
Value-Based
RLHF & Alignment
Exploration
Meta-RL
Multi-Agent
Offline RL
Game AI
Safe RL