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Author

L. Zhang

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#artificial intelligence Jul 2026

Trust Region Policy Distillation

This work presents Trust Region Policy Distillation (TOP-D), which transforms the notoriously unstable, high-variance On-Policy Distillation (OPD) into a stable training paradigm by dynamically constructing a proximal teacher and establishes a rigorous framework demonstrating that TOP-D inherently controls gradient var...

Zheng-Peng Xie, L. Zhang, Ze-Ke Xie et al. · 0 citations

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