Luchen Li
Postdoctoral Fellow
Luchen is a PhD student funded by the Department of Computing. Her research interests mainly involve using machine learning, with a focus on reinforcement learning, to optimise medical treatments. She got her MSc degree in Electronic and Computer Engineering from Carnegie Mellon University.
Research Brief
Luchen is interested in using machine learning to improve dynamic clinical treatment which entails off-line reinforcement learning, exploration in RL, behaviour uncertainty, and supervised learning of physiological features.
Lab Publications
Bayesian distributional policy gradients
2021Luchen Li and A Aldo Faisal
Proceedings of the AAAI Conference on Artificial IntelligenceOptimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation
2020Li, Luchen and Albert-Smet, Ignacio and Faisal, Aldo A
arXiv preprint arXiv:2003.06474Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs
2019Li, Luchen and Komorowski, Matthieu and Faisal, Aldo A
arXiv preprint arXiv:1905.07465The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making
2018Li, Luchen and Komorowski, Matthieu and Faisal, Aldo A
arXiv preprint arXiv:1805.11548