Cong Lu

Postdoctoral Research Fellow in Open-Ended Learning.

Hello!

I am a postdoctoral research and teaching fellow at the University of British Columbia and the Vector Institute supervised by Prof. Jeff Clune. I am interested in developing autonomous agents that are safe, curious, and can learn in an open-ended manner, particularly driven by recent advances in foundation models together with deep reinforcement learning.

🎉 Introducing The AI Scientist

We recently released The AI Scientist, the first agent that can automate the entire scientific process. Our system can independently form hypotheses, conduct experiments, visualize results, write a paper, and review it. Thank you to my incredible collaborators!

📰 Press Coverage

I have been fortunate to have my work featured in various media outlets, including:

I previously received my PhD at the University of Oxford supervised by Prof. Michael A. Osborne and Prof. Yee Whye Teh. During the PhD, I was particularly interested in offline reinforcement learning with work in generalization to unseen tasks, uncertainty quantification for offline world models, learning from pixels, and diffusion synthetic data for reinforcement learning. Please do feel free to reach out!

You can find my PhD thesis here.

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