Review
Sep 2026
Reinforcement Learning Post-Training for Reasoning Large Language Models: Methods, Systems, and Evaluation
Reinforcement learning (RL) has become a central post-training approach for reasoning and agentic large language models (LLMs), particularly when task outcomes can be verified automatically. Comparisons across this literature remain difficult because a reported gain may combine changes to the learning signal, policy co...
Liu Yang, Han Zhu, Zheng-Yang Zhong et al.
· Unmanned Systems · 0 citations