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20212026
most citedMulti-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity

3 citations · 5 across the 8 of their papers we have counts for

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cs.LG2026

From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization

Yufeng Yang, Fangning Zhuo, Ziyi Chen +2

Multi-objective optimization (MOO) has received growing attention in applications that require learning under multiple criteria. However, most existing MOO formulations do not expl…