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Preprint Aug 2026

Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization

Environment-Regularized Policy Optimization (ERPO) replaces the standard Policy-KL regularizer while achieving effective control over query distribution drift, delivering stronger accuracy and substantially more stable behavior under high-temperature decoding and long-horizon training.

Xianlei Zhou, Xiangdi Meng, Yu He et al. · 0 citations