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Author

Davide Gabrielli

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Jul 2026

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning

A principled reward decomposition framework is introduced that decouples verifiability from sparsity, and two new reward functions are proposed: an exponential reward that provides graded penalties based on the count of forbidden-concept occurrences, and a PageRank inspired reward that weights penalties by semantic importance.

Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj et al. · 1 citation

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