Offline Reinforcement Learning for Optimizing Production Bidding Policies
Abstract
Supplemental Material
- Download
- 62.98 MB
References
Index Terms
- Offline Reinforcement Learning for Optimizing Production Bidding Policies
Recommendations
Real-Time Bidding by Reinforcement Learning in Display Advertising
WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data MiningThe majority of online display ads are served through real-time bidding (RTB) --- each ad display impression is auctioned off in real-time when it is just being generated from a user visit. To place an ad automatically and optimally, it is critical for ...
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningBidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast, the display ...
Reinforcement learning approaches for specifying ordering policies of perishable inventory systems
Developed RL policies perform better than the other algorithms.RL learn better when the age of the products is used in state representation.Age and demand variance are important for perishable inventory management.The value of the age becomes critical ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 154Total Downloads
- Downloads (Last 12 months)154
- Downloads (Last 6 weeks)154
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in