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Deep Reinforcement Learning for Anti-Jamming Dynamic Spectrum Access: A Bootstrap Ensemble Approach with Echo State Network and Idle-Ratio Change Detection — Europe PMC PMID:42590514

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42590514
DOI: 10.3390/s26154737
License (as archived): solo-consultazione
Archived: 2026-10-07T12:56:09.334Z
SHA-256 of the archived text: bd18e3b08648e456ac2de5f2df41d3477275f32baf2ed3f6a21ceb0d7a548275
Stable URL of this page: https://metraipolis.com/documento/dc_543739c17070

How to cite

Deep Reinforcement Learning for Anti-Jamming Dynamic Spectrum Access: A Bootstrap Ensemble Approach with Echo State Network and Idle-Ratio Change Detection — Europe PMC PMID:42590514 — Europe PMC (en), https://europepmc.org/article/MED/42590514 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_543739c17070 (Metraipolis archive dc_543739c17070, sha256 bd18e3b08648e456ac2de5f2df41d3477275f32baf2ed3f6a21ceb0d7a548275)

BibTeX

@misc{dc543739c17070,
  title = {Deep Reinforcement Learning for Anti-Jamming Dynamic Spectrum Access: A Bootstrap Ensemble Approach with Echo State Network and Idle-Ratio Change Detection — Europe PMC PMID:42590514},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42590514},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_543739c17070; sha256 bd18e3b08648e456ac2de5f2df41d3477275f32baf2ed3f6a21ceb0d7a548275},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42590514. Agents can read the archived copy with the MCP tool read_document.