Evidence-Bounded Edge Reinforcement Learning for Adaptive Fuel Optimization
Edge intelligence is frequently proposed for vehicle energy management, yet published performance claims are difficult to assess when training artifacts, scenario definitions, and hardware logs are unavailable. This study develops an evidence-bounded and fully reproducible evaluation of a continuous-action Proximal Pol...