From external to internal regret¶
Blum, A., & Mansour, Y. (2007). From external to internal regret. Journal of Machine Learning Research, 1307-1324.
Cited by¶
2 citations across 1 artifact.
Domain-specific¶
- Swap regret
- Swap regret strengthens external regret by comparing realized play with every action-remapping function, and vanishing swap regret supports empirical distributions approaching correlated equilibrium.
- … the action set, rounds, payoff feedback, randomization convention, and comparator class of action-by-action swaps are explicit and the regret aggregates the best conditional replacements. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..
Verification¶
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