Qiang He

Qiang He is a Researcher at the Chair of Learning Technical Systems within the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum. His work focuses on advanced reinforcement learning techniques and deep learning applications.

• University: Ruhr University Bochum
• School: Faculty of Electrical Engineering and Information Technology
• Department: Chair of Learning Technical Systems
• Email: qiang.he@rub.de

Research Interests

He specializes in:

• Machine Learning
• Reinforcement Learning
• Deep Learning
• Information Geometry
• Policy Optimization
• Exploration Strategies

Publication Trends

His recent research emphasizes:

• Deep reinforcement learning for gaming and control systems
• Regularization and bias mitigation in value approximation
• Ensemble policy gradient frameworks
• Multi-objective alignment for language models
• Information-theoretic approaches
• Applications of temporal-difference dynamics