I joined my PhD with Division of Data Science & AI in 2017. My research area is Reinforcement learning, specifically model-based Bayesian Reinforcement learning. I am also TA for Machine learning (TDA231), Discrete Optimization (TDA206) and Introduction to AI (TIN175) courses.
Showing 5 publications
Minimax-Bayes Reinforcement Learning
Bayesian Reinforcement Learning via Deep, Sparse Sampling
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
Sample Efficient Bayesian Reinforcement Learning
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