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cs.LG2026
Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
Benjamin Poole, Andrew Quinn, Li Yang +1
Data rehearsal has emerged as a leading approach for mitigating catastrophic forgetting in Continual Reinforcement Learning (CRL). However, existing work remains confined to policy…
cs.LG2025
Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques
Raju Challagundla, Mohsen Dorodchi, Pu Wang +1
As privacy regulations become more stringent and access to real-world data becomes increasingly constrained, synthetic data generation has emerged as a vital solution, especially f…