Reinforcement Learning Enables Safe Engine Control
Researchers present a toolchain applying Deep Deterministic Policy Gradient (DDPG) reinforcement learning to transient load control on a single-cylinder HCCI engine testbench, demonstrated in an arXiv preprint (v1 Jan 28, 2025; v2 Feb 24, 2026). They incorporate real-time k-nearest-neighbor safety monitoring to avoid damaging pressure-rise events and achieve 0.1374 bar RMSE for indicated mean effective pressure. The agent also adapts to higher ethanol energy shares while maintaining safety.
Scoring Rationale
Strong practical RL demonstration with safety mechanisms, limited by single‑bench preprint and lack of peer review.
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