Add difficulty curriculum sampler#1692
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This pull request introduces a difficulty-aware curriculum sampling system for RLVR and GRPO prompt selection, including configurable schedules, adaptive sampling based on reward/advantage signals, and quantile-based filtering. The implementation provides mechanisms for bootstrapping, warmup, and dynamic reweighting of training examples based on model performance. Feedback was provided to improve the maintainability and clarity of the code by adding explanatory comments for the adaptive learning signal calculation and the specific indexing logic used for bucket IDs.
…' into split-difficulty-curriculum-core
…iculum-core # Conflicts: # CHANGELOG.md
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