Kwai-Klear/RLEP_dataset

This repository contains the datasets used in the paper RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning. RLEP (Reinforcement Learning with Experience rePlay) is a two-phase framework that first collects verified successful trajectories and then replays them during subsequent training. At every update step, the policy is optimized on mini‑batches that blend newly generated rollouts with these replayed successes. By replaying high‑quality examples, RLEP steers the model… See the full description on the dataset page: https://huggingface.co/datasets/Kwai-Klear/RLEP_dataset.

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