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20222026
most citedMomentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

1 citations · 3 across the 6 of their papers we have counts for

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cs.LG2026

Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning

Yuan Zhuang, Yuexin Bian, Sihong He +7

Scaling critic capacity is a promising direction for improving off-policy reinforcement learning (RL). However, recent work shows that larger critics are prone to overfitting and i…