Awesome Recommender Systems
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Yang Yu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Yang Yu
123
papers ·
445
citations ·
0
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
A Survey on Model-based Reinforcement Learning
2022 · 26 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
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
2022 · 14 citations
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
2023 · 13 citations
Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech
2022 · 12 citations
Signal Combination for Language Identification
2019 · 10 citations
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment
2023 · 9 citations
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
2021 · 8 citations
Offline Reinforcement Learning with Causal Structured World Models
2022 · 8 citations
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges
2023 · 8 citations
On Reinforcement Learning for Full-length Game of StarCraft
2018 · 7 citations
Active Hierarchical Exploration with Stable Subgoal Representation Learning
2021 · 7 citations
Topics
Model-Based RL
Offline RL
Multi-Agent
Policy Gradient
Meta-RL
Exploration
Game AI
cs.LG
RLHF & Alignment
Value-Based