Information-TheoreticSafeExplorationwith GaussianProcesses
–Neural Information Processing Systems
Acommon approach istoplace aGaussian process prior on the unknown constraint and allowevaluations only inregions that are safe with high probability. Most current methods rely on a discretization of the domain and cannot be directly extended to the continuous case. Moreover, the way in which they exploit regularity assumptions about the constraint introduces an additional critical hyperparameter.
Neural Information Processing Systems
Feb-11-2026, 20:32:36 GMT
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- Europe > Germany (0.05)
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.05)
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- Research Report (0.46)
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