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cs.LG2026
Let the Batch Decide, On- or Off-Policy: Effective Sample Size for RL Post-Training
Rasool Fakoor, Murdock Aubry, Nicholas Stranges +1
Reinforcement learning (RL) is structurally harder than supervised learning because the policy changes the data distribution it learns from. The resulting fragility is especially v…
cs.LG2024
Transformer Block Coupling and its Correlation with Generalization in LLMs
Murdock Aubry, Haoming Meng, Anton Sugolov +1
Large Language Models (LLMs) have made significant strides in natural language processing, and a precise understanding of the internal mechanisms driving their success is essential…