arxiv
PublishedJune 5, 2026 at 4:00 AM
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Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
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arXiv:2602.19373v3 Announce Type: replace Abstract: Deep reinforcement learning systems often suffer from unstable training dynamics due to non-stationarity, where learning objectives and data distributions evolve over time. We show that under non-stationary targets, isotropic Gaussian embeddings ar
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Originally published on arxiv ↗