Chentian Jiang

My research aims to understand human learning strategies and build them into computational agents, with a focus on causal learning, transfer/meta learning, and reinforcement learning. People are skilled at choosing actions to discover the causal relationships in their environment, including the abstract properties of these relationships that transfer to new situations. By studying their choices, I am interested in integrating human strategies into reinforcement learning agents for causal learning tasks.

I’m very grateful to be funded by Principal’s Career Development Scholarship and Edinburgh Global Research Scholarship.

Links: email | personal website | google scholar | github

Education

PhD Informatics, 2023 (ongoing)
ILCC, University of Edinburgh

BSc Computer Science, 2019
Minor Neuroscience
Duke University