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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.ML2024★ 1 cited

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

The classical iteratively reweighted least-squares (IRLS) algorithm aims to recover an unknown signal from linear measurements by performing a sequence of weighted least squares pr…

math.OC2024★ 1 cited

Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning

Sihan Zeng, Thinh T. Doan, Justin Romberg

Multi-task reinforcement learning (RL) aims to find a single policy that effectively solves multiple tasks at the same time. This paper presents a constrained formulation for multi…