Scholar

Huang Jiawei

Google Scholar ID: 6IcfJiIAAAAJ

ETH Zurich

Machine LearningReinforcement Learning

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Citations

630

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i10-index

Publications

Co-authors

list available

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Publications

16 items

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Background

Ph.D. student in Computer Science at ETH Zurich, advised by Prof. Niao He
Previously a Ph.D. student in Computer Science at University of Illinois at Urbana–Champaign (UIUC), advised by Prof. Nan Jiang
Research primarily focuses on reinforcement learning (RL) and sequential decision-making under uncertainty
Works on understanding fundamental mathematical principles and leveraging theoretical insights to develop efficient, practical algorithms
Especially interested in bridging theory and practice—designing algorithms with theoretical guarantees and strong empirical performance
Previous research spans: Reinforcement Learning from Human Feedback (RLHF), Multi-Agent Reinforcement Learning (MARL), Offline Reinforcement Learning

Co-authors

23 total