Intelligent judicial opinion generation and optimisation method based on reinforcement learning

Le résumé fourni par la source

In order to improve the quality and efficiency of judicial decision opinion generation, a reinforcement learning method is used to design an intelligent judicial decision opinion generation model. Through comparative experiments, the differences in accuracy, legality and fairness between the traditional method and the model based on reinforcement learning are investigated. The results show that the model optimised by reinforcement learning performs superiorly in all the indicators, and can better generate adjudication opinions in line with judicial standards, which provides a new idea for improving the quality of judicial decision-making.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.