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Learning under Invariable Bayesian Safety
A recent body of work addresses safety constraints in explore-and-exploit systems.
Fiduciary Bandits
Recommendation systems often face exploration-exploitation tradeoffs: the system can only learn about the desirability of new options by recommending them to some user.
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