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20242026
most citedNatural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning

1 citations · 2 across the 4 of their papers we have counts for

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stat.ML2025

A general technique for approximating high-dimensional empirical kernel matrices

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

We present simple, user-friendly bounds for the expected operator norm of a random kernel matrix under general conditions on the kernel function . Our approach uses…

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…