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cs.LG2026
SparseRL-Sync: Lossless Weight Synchronization with ~100x Less Communication
Lucas Hu, Ranchi Zhao, Isaac Zhu +4
In large-scale reinforcement learning (RL) systems with decoupled Trainer-Rollout execution, the Trainer must regularly synchronize policy weights to the Rollout side to limit poli…
cs.LG2019★ 1 cited
Recurrent Control Nets for Deep Reinforcement Learning
Vincent Liu, Ademi Adeniji, Nathaniel Lee +2
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input. As a result, they are responsib…