reinforcement learning

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning
Machine unlearning seeks to selectively remove specific knowledge from trained language models without full retraining, a growing …
Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj, Gjergji Kasneci
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Reinforcement Unlearning via Group Relative Policy Optimization
During pretraining, LLMs inadvertently memorize sensitive or copyrighted data, posing significant compliance challenges under legal …
Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci
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