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
Ke Tang — most-cited papers & profile · Recommender Systems
← authors
·
overview
Ke Tang
6
papers ·
24
citations ·
61
h-index
Southern University of Science and Technology · Biotechnology Research Center
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Agent-pro: Learning To Evolve Via Policy-level Reflection And Optimization
2024 · 22 citations
Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
2026
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
2025
Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
2025
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
2025
Topics
Model-Based RL
Meta-RL
Exploration
Policy Gradient
Browser Agents
Code Agents
Multi-Agent
RLHF & Alignment
Reinforcement Learning
Safety & Alignment