Sample Data for Learning RL and Monte Carlo

When food shopping, there are many different products for the same ingredient to choose from in supermarkets. I would like to create a model that, can select the optimal products that is both:
Within my budget
Meets my personal preferences

在食品采购场景中，超市内针对同一种食材往往提供多款差异化可选产品。本项目拟构建一款模型，该模型可筛选出同时满足两项核心要求的最优产品：一是符合采购预算范围，二是契合个人使用偏好。

搜集汇总

背景与挑战

背景概述

该数据集旨在构建一个模型，用于在超市购物时根据预算和个人偏好选择最优产品。它通过强化学习和蒙特卡洛方法，从有限的产品组合中寻找满足条件的解决方案。