arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral
On Distributional Reinforcement Learning in Chaotic Dynamical Systems
Publisher summary· verbatim
arXiv:2605.30160v1 Announce Type: cross Abstract: Chaotic dynamical systems pose a fundamental challenge for Reinforcement Learning (RL): exponential sensitivity to initial conditions induces high-variance bootstrap targets and poorly conditioned gradient updates. Chaotic dynamics arise across scien
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning3harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning3harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models3harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents3hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗