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Jin-Cheng Yu

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#machine learning Review Sep 2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt brittleness, and failures to revise incorrect commitments are difficult to explain by missing knowledge or expressive capacity alone. This su...

Jia-Zhang Cai, Tao Wang, Rui-Dong Zhang et al. · 0 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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