Abstract: This work investigates the use of deep reinforcement learning to address the scheduling problem of identifying minimal control sequences while ensuring deadlock avoidance in transition-timed ...
Simulation-vs-live status (updated iter93): REP findings (F1–F16) and R1–R7 design findings derive from discrete-event simulation (Python harness, bounded network sizes 100–10,000). RS6 Phase 2 ...
Abstract: The verification of opacity of discrete event systems (DESs) is subjected to the curse of dimensionality because this issue has been proven to be EXPSPACE-complete. Therefore, how to improve ...
Open-source Python implementation of the Shikdar–Laaksonen (2026) multihorizon hazard framework for battery operational reliability, with reproducibility analysis, methodological corrections, and an ...
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