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职业迁徙
个人简介
I work on a variety of topics in machine learning with a focus on the statistical and computational aspects of adaptive decision making problems and reinforcement learning. I am also interested in nonconvex optimization and federated learning. I appreciate papers with well motivated theoretical formulations which either explain curious practical phenomena or ultimately provide intuitions missing in existing practical approaches.
I've had the great fortune of working with two amazing undergrads, Alex Deweese and Matt Peng. Alex and I had been thinking about algorithms for online RL with a focus on achieving optimal sample complexity guarantees. Matt and I worked on implementing performant algorithms for Imitation Learning based on a novel technique known as Replay Estimation.
I've had the great fortune of working with two amazing undergrads, Alex Deweese and Matt Peng. Alex and I had been thinking about algorithms for online RL with a focus on achieving optimal sample complexity guarantees. Matt and I worked on implementing performant algorithms for Imitation Learning based on a novel technique known as Replay Estimation.
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论文共 21 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2022)
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arxiv(2021)
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