Preston Fu
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PhD student at UC Berkeley
I'm a PhD student at the University of Washington advised by Abhishek Gupta, where I am supported by the NSF Graduate Research Fellowship. I'm interested in building reliable and efficiently adaptable systems via large-scale RL. Previously, I did my undergrad at UC Berkeley advised by Sergey Levine and Aviral Kumar. Research Writing Sep 2026 Progressive Point Matching How can we scalably train LLMs with RL toward long-horizon tasks? We propose a simple dense credit assignment method that generalizes imitation learning and standard outcome-level RL. Sep 2025 Scaling Laws for Value-Based…
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