Author

Huimin Ren

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Preprint Aug 2026

RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning

Results indicate that selective internalization through reward filtering and policy support shaping is effective for open-ended reinforcement learning.

Jinkun Hou, Zhuo Liu, Huimin Ren et al. · 0 citations