Introduction

I’m a researcher at OsloMet specializing in self-supervised learning and reinforcement learning. My work bridges theoretical advances in AI with practical applications.

Academic Journey

  • PhD in Computer Science (2025) - University of Oslo, Norway
    Thesis: State Representations in Reinforcement Learning

  • MSc in Artificial Intelligence (2020) - University of Groningen, Netherlands

  • BSc in Artificial Intelligence (2017) - University of Groningen, Netherlands

Research Interests

  • Self-supervised representation learning
  • Deep reinforcement learning
  • Computer vision and robotics
  • LLM

Selected Publications

State Representation Learning Using an Unbalanced Atlas
ICLR 2024 - Novel paradigms for manifold-based self-supervised learning

Improving the Diversity of Bootstrapped DQN
IEEE Transactions on Games 2022 - Enhancements in Q-learning diversity

→ See all publications

Technical Skills

Programming: Python, C++, Java, R, MATLAB
Frameworks: PyTorch, TensorFlow, ROS
Specialized: Large Language Models, Computer Vision, Robotics
Languages: English, Chinese, Norwegian, Japanese

Contact

Email: li.meng@oslomet.no
Location: Oslo, Norway