← Search

Zengyao Man

2 accepted papers

2025

Dual-Agent Reinforcement Learning for Automated Feature Generation

IJCAI 2025

Feature generation involves creating new features from raw data to capture complex relationships among the original features, improving model robustness and machine learning performance. Current methods using reinforcement learning for feature generation have made feature exploration more flexible a

2025

Two-Stage Feature Generation with Transformer and Reinforcement Learning

IJCAI 2025

Feature generation is a critical step in machine learning, aiming to enhance model performance by capturing complex relationships within the data and generating meaningful new features. Traditional feature generation methods heavily rely on domain expertise and manual intervention, making the proces

Cited by 0SourcePDFScholar