Biologypreprint2026-09-08

Code and data for "Non-Stationarity Breaks Permutation Surrogates in Multi-Agent Reinforcement Learning: Diagnosis and Remedies"

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Abstract

Analysis code, generated data and the 100-seed sweep for the transfer-entropy null-control experiment reported in the manuscript. Includes the four-way surrogate decomposition, the equal-length window control, the stationarity diagnostics and gate enumeration, the synthetic drift manipulation, the effect-size titration, and the regression guard that checks every reported number against these files.

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View paper (DOI)Open access versionOpenAlexarXiv (Cornell University)Published 2026-09-08

Authors: Nikolaos Al. Papadopoulos

Institutions: University of Macedonia