arxiv
PublishedJune 5, 2026 at 4:00 AM
Scalable Reinforcement Learning via Adaptive Batch Scaling
Publisher summary· verbatim
arXiv:2605.21557v2 Announce Type: replace-cross Abstract: Conventional wisdom holds that large-batch training is fundamentally incompatible with Reinforcement Learning (RL) - beyond a modest threshold, increasing batch sizes typically yields diminishing returns or performance degradation due to the
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Originally published on arxiv ↗