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Philip S. Yu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Philip S. Yu
128
papers ·
3532
citations ·
169
h-index
University of Illinois Urbana-Champaign · University of Illinois System · California State University, Chico · University of Illinois Chicago · University of Chicago · Southwest Jiaotong University
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Most-cited papers
Differential Advising in Multi-Agent Reinforcement Learning
2020 · 4 citations
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
2025 · 1 citations
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
2019 · 1 citations
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
2021 · 1 citations
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
2025
UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
2025
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
2021
Deep reinforcement learning guided graph neural networks for brain network analysis
2022
Top co-authors
Hao Peng
· 2
Amin Beheshti
· 1
Chenliang Xu
· 1
Chenwei Zhang
· 1
David McAlpine
· 1
Dayong Ye
· 1
Dennis Wu
· 1
Guandong Xu
· 1
Han Liu
· 1
Haoran Lu
· 1
Haoyang Fang
· 1
Haozheng Luo
· 1
Topics
Model-Based RL
Multi-Agent
Safe RL
Exploration
Policy Gradient
Meta-RL
RLHF & Alignment
Value-Based