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cs.LG2025
Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning
Ünver Çiftçi
Deep Q-learning algorithms remain notoriously unstable, especially during early training when the maximization operator amplifies estimation errors. Inspired by bounded rationality…
cs.LG2023
Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models
Eren Unlu, Unver Ciftci
Large Language Models (LLMs) are evolving to integrate multiple modalities, such as text, image, and audio into a unified linguistic space. We envision a future direction based on…