arxiv
PublishedSeptember 2, 2026 at 4:00 AM
—neutral
A Closed-Loop Evaluation of Capability Loss and Recovery in Compressed Driving Policies
Publisher summary· verbatim
arXiv:2609.00718v1 Announce Type: new Abstract: Many automobile and mobility companies deploy learned driving policies on embedded computers with limited memory and power. Pruning, knowledge distillation, and quantization are the standard methods to reduce the size and the inference cost of these po
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Originally published on arxiv ↗