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Jia-Xin Gao

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#artificial intelligence Preprint Sep 2026

Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation

On-policy distillation (OPD) has emerged as an effective approach for large language model post-training, yet existing objectives face a trade-off between objective fidelity and optimization stability. Token-level OPD provides stable but local supervision, whereas sequence-level OPD captures future credit at the cost o...

Shi-Qi Liu, Ze-Yu He, Le-Tian Tao et al. · 2 citations
#reinforcement learning Review Open access Sep 2026

Recent Advances of Reinforcement Learning Algorithms for Autonomous Driving System

This survey examines RL-based AD in modular and end-to-end pipelines and relates reported methods to task formulation and deployment evidence and examines deployment barriers, including safety, Sim2Real generalization, data efficiency, computation, embodied alignment, and evaluation readiness.

B. Shuai, Min Hua, Le-Tian Tao et al. · 0 citations

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