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20152026
most citedFinite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning

50 citations · 194 across the 41 of their papers we have counts for

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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…

cs.LG2025

Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation

Seo Taek Kong, Sihan Zeng, Thinh T. Doan +1

We consider linear two-time-scale stochastic approximation algorithms driven by martingale noise. Recent applications in machine learning motivate the need to understand finite-tim…