Scholar
Preston Fu
Google Scholar ID: VjtRFvEAAAAJ
UC Berkeley
Citations & Impact
Citations
11
H-index
2
i10-index
0
Publications
3
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several papers including 'Compute-Optimal Scaling for Value-Based Deep RL' (NeurIPS 2025) and 'Value-Based Deep RL Scales Predictably' (ICML 2025), with presentations at NeurIPS Math-AI Workshop (2024) and EMNLP Future Event Detection Workshop (2024).
Research Experience
- Part of the Accel Scholar program; involved in multiple research projects on reinforcement learning.
Education
- Attending UC Berkeley, advised by Sergey Levine and Aviral Kumar.
Background
- An undergrad at UC Berkeley, interested in building systems that can efficiently learn general skills.
Miscellany
- GitHub: @prestonfu, Linkedin: @preston-fu, Scholar: click, Email: prestonfu [at] berkeley [dot] edu
Co-authors