Calibrated partial resets prevent policy collapse in continual reinforcement learning
Read the original at arxiv.org→arXiv:2607.24996v1 Announce Type: new Abstract: Neural networks are hindered by accumulating dormant neurons and loss of expressivity throughout training, particularly in non-stationary data settings, such as...
Original headline: "Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning"
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- Jul 29, 04:00 UTC arXiv cs.LG lead source Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning