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Found 3 papers, 3 papers with code
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking
In the second stage, we design a new criterion to score each PII candidate and rank them.
Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches
The model-based power allocation algorithm has been investigated for decades, but it requires the mathematical models to be analytically tractable and it usually has high computational complexity.
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Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach
Nowadays, the data-driven model-free machine learning-based approaches are rapidly developed in this field, and among them the deep reinforcement learning (DRL) is proved to be of great promising potential.
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