电商场景专项优化指南
Phased implementation of the program:
- Data preparation:下载Huggingface数据集
CharlieDreemur/OpenManus-RL-GRPO作为基础训练集 - 奖励设计：fulfillment
--reward_funcs click_accuracy purchase_rate强化关键行为 - 策略调优：exist
web_shop.yaml配置中设置分层奖励衰减系数（推荐0.9-0.95）
验证方法：运行--benchmark WebShopGenerate a file containing页面跳转效率cap (a poem)购物车转化率的详细报告。建议结合历史行为数据构建用户画像增强个性化推荐。
This answer comes from the articleOpenManus-RL: Fine-tuning Large Models to Enhance Intelligent Body Reasoning and Decision MakingThe
May not be reproduced without permission:AI productivity tools " 怎样提升智能体在WebShop场景的购买决策准确率？
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