A reinforcement learning agent, guided by a neural-network surrogate, picks side-sill wall thicknesses that improve energy absorption and mass compared to a genetic algorithm baseline.
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Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design
A reinforcement learning agent, guided by a neural-network surrogate, picks side-sill wall thicknesses that improve energy absorption and mass compared to a genetic algorithm baseline.