#machine learning
May 2026
The Value of Mechanistic Priors in Sequential Decision Making
It is shown that priors sensitive to distribution shift can lose half of their mechanistic information under a small distribution shift, motivating physically grounded priors for safety-critical applications.
Itai Shufaro, G. Benor, Shie Mannor
· arXiv.org · 0 citations