A vector-quantized autoencoder learns minimal control codebooks for forward invariance in sampled-data control, achieving 157x reduction over grid baselines on a 12D quadrotor model.
Minimal bit rates and entropy for exponential stabiliza- tion
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Minimal Information Control Invariance via Vector Quantization
A vector-quantized autoencoder learns minimal control codebooks for forward invariance in sampled-data control, achieving 157x reduction over grid baselines on a 12D quadrotor model.