Author

Carlo D'Eramo

University of Würzburg

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Review

Adaptive Reward Design in Reinforcement Learning: A Taxonomy and Survey

A unified view of ARD in RL is provided by introducing a taxonomy, organized by the primary driver of the reward variation, that distinguishes external-feedback-driven reward updates from reward adaptations driven by endogenous within-run signals and those conditioned on exogenous context signals.

Raphaela Baybas, Carlo D'Eramo, Philipp Brune · 0 citations