Yue Yu

PhD Candidate in Statistical Science @IndianaUniv; Intern @AmazonScience; Formerly @UMich.

[Runze Zhao @RunzeZhaoIUB]

Heading to Seoul for #ICML2026! Presenting “Instance-Dependent Continuous-Time RL via MLE.” We study when CTRL agents should measure: fine grids for low variance, more episodes for high variance.

📍Poster S5, Wed July 8, 5:00–6:45 PM, Hall A #4414.
Link: https://t.co/M5JwIB69O0

[Runze Zhao @RunzeZhaoIUB]

How can we make CTRL both theoretically grounded and practically useful?
🧠 First sample complexity bounds for CTRL with general function approximation.
🚀 2x speedup in diffusion fine-tuning & control tasks

See our poster in #UAI2025!
Paper: https://t.co/jTCwyLikMI

#RLTheory