Bid optimisation methods for real-time bidding in online display advertising.

CONTRIBUTERS:

To get the data, run python Code/download_data.py - this will create a folder called Data in the root

For:

Reports see GROUP / ACR / LB / TW
Data Exploration see ACR / LB / TW
Basic Bidding Strategies see this
Linear Bidding Strategy see this
Indiv Bidding Strategies see ACR / LB / TW
Group Bidding Strategies see - - - - NEURAL / MULTI-AGENT (By ACR, after single agent in RE notebook)- - - -

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Code		Code
Models		Models
Reports		Reports
i-ACR		i-ACR
i-LB		i-LB
i-TW		i-TW
.DS_Store		.DS_Store
.gitignore		.gitignore
README.md		README.md