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Yang Yu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yang Yu
19
papers ·
277
citations ·
20
h-index
Beijing Botanical Garden · Education University of Hong Kong · University of Chinese Academy of Sciences
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
QPLEX: Duplex Dueling Multi-Agent Q-Learning
2020 · 144 citations
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
2018 · 38 citations
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
2021 · 25 citations
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
2018 · 22 citations
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
2021 · 8 citations
On Reinforcement Learning for Full-length Game of StarCraft
2018 · 7 citations
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning
2019 · 3 citations
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
2019 · 3 citations
On Value Discrepancy of Imitation Learning
2019 · 3 citations
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
2021 · 3 citations
Reinforcement Learning Experience Reuse with Policy Residual Representation
2019 · 1 citations
Temporal-adaptive Hierarchical Reinforcement Learning
2020 · 1 citations
Interactive Search Based on Deep Reinforcement Learning
2020 · 1 citations
Neural-to-Tree Policy Distillation with Policy Improvement Criterion
2021 · 1 citations
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems
2023
Top co-authors
Changjie Fan
· 2
Chongjie Zhang
· 2
Jianhao Wang
· 2
Jieping Ye
· 2
Qing Da
· 2
Qingyang Li
· 2
Ruo-Ze Liu
· 2
Shengyi Jiang
· 2
Tong Lu
· 2
Wenjie Shang
· 2
Wen-Ji Zhou
· 2
Xu-Hui Liu
· 2
Topics
Offline RL
Model-Based RL
Game AI
Multi-Agent
Policy Gradient
Value-Based
Meta-RL
Exploration
Safe RL