I'm an undergrad at UC Berkeley advised by Sergey Levine and Aviral Kumar. I'm interested in building systems that can efficiently learn general skills.
News
- Sep 2025: New blog post summarizing our two papers on scaling laws for RL with value functions and discussing open problems.
- Sep 2025: New paper on compute-optimal scaling for value-based RL is accepted to NeurIPS!
- May 2025: I'm an Accel Scholar!
- May 2025: New paper on scaling laws for value-based RL is accepted to ICML!
Research
Compute-Optimal Scaling for Value-Based Deep RL
Preston Fu*, Oleh Rybkin*, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
NeurIPS, 2025
Value-Based Deep RL Scales Predictably
Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
ICML, 2025
ICLR Robot Learning Workshop, 2025 (oral)
Reasoning and Tools for Human-Level Forecasting
Elvis Hsieh*, Preston Fu*, Jonathan Chen*
NeurIPS Math-AI Workshop, 2024
EMNLP Future Event Detection Workshop, 2024 (oral)
