arXiv cs.NE
· Papers
Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering
arXiv:2606.29684v1 Announce Type: new Abstract: This research investigates the optimization of Convolutional and Dense Neural Networks (CNNs and DNNs) for autonomous steering using the (N+M) Evolution Strategy (ES) with the 1/5th success rule. The primary objective is to develop a lightweight CNN based model capable of