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Scaling Batch Size: Deep Networks Unlock New RL Potential
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256 views0likes26LatentSpaceClipsOriginal Release: 2026-05-09

In reinforcement learning, scaling batch size alone is ineffective when using small networks that cannot capture complex patterns; however, when deep networks with sufficient capacity are successfully trained, scaling network capacity unlocks an additional dimension of effectiveness for batch size scaling, enabling more efficient training.

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