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The codes for 《A Dynamic Bidding Strategy Based on Model-free Reinforcement Learning in Display Advertising》

License: Apache License 2.0

Python 100.00%
reinforcement-learning bidding-strategies

fab_expr's Introduction

FAB_expr

论文《A Dynamic Bidding Strategy Based on Model-free Reinforcement Learning in Display Advertising》的代码

代码运行

  1. 在根目录创建data/ipinyou/1458或者data/ipinyou/3427目录,并将依据make-ipinyou-data库得到的1458或者3427广告活动的train.log.txt和test.log.txt存入对应目录
  2. 运行ctr工程
  3. 先运行ctr/encode/data_.py得到编码后的文件
  4. 再运行ctr/main/pretrain_main.py利用ctr预测模型,来得到每条记录的预测点击率,可选ctr模型见ctr/models/p_model.py
  5. 运行FAB工程
  6. 运行FAB/main/fab_main.py得到结果
  7. 参数控制-ctr/config/config.py和FAB/config/config.py

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