Awesome Reinforcement Learning
📄
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
Xiaocong Chen — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Xiaocong Chen
23
papers ·
239
citations ·
20
h-index
Data61
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
2021 · 20 citations
Generative Inverse Deep Reinforcement Learning for Online Recommendation
2020 · 2 citations
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
2025 · 1 citations
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
2024 · 1 citations
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
2023 · 1 citations
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
2024 · 1 citations
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
2023
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
2024
Top co-authors
Lina Yao
· 8
Siyu Wang
· 3
Dietmar Jannach
· 2
Julian McAuley
· 2
Siyu Wang
· 2
Xianzhi Wang
· 2
Aixin Sun
· 1
Guanglin Zhou
· 1
Liming Zhu
· 1
Siyu Wang
· 1
Tong Yu
· 1
Xiwei Xu
· 1
Topics
Model-Based RL
Offline RL
Policy Gradient
Value-Based
Exploration
Safe RL