2 papers
eess.SY2026
Finite-Time Analysis of Projected Two-Time-Scale Stochastic Approximation
Yitao Bai, Thinh T. Doan, Justin Romberg
We study the finite-time convergence of projected linear two-time-scale stochastic approximation with constant step sizes and Polyak--Ruppert averaging. We establish an explicit me…
cs.LG2025
Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation
Yitao Bai, Sihan Zeng, Justin Romberg +1
We study policy evaluation problems in multi-task reinforcement learning (RL) under a low-rank representation setting. In this setting, we are given learning tasks where the co…