most citedClip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models

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cs.CL2026

SPADE: Self-Play in Adaptive Synthetic Executable Environments

Bo Liu, Simon Yu, Yiding Jiang +15

Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language agents, existing training environment pools (hand-curated, stat…