A GRU-based RL policy learns to infer and act on latent cetane number variation, achieving mean absolute CA50 tracking error below 0.25° CA across unseen trajectories in a Gaussian-process engine surrogate.
Safe Reinforcement Learning for Real-World Engine Control
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Residual reinforcement learning automates map-based ECU calibration to closely match series production references with minimal human intervention.
citing papers explorer
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Production-Ready Automated ECU Calibration using Residual Reinforcement Learning
Residual reinforcement learning automates map-based ECU calibration to closely match series production references with minimal human intervention.