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Reinforcement Learning for Long-Term Reward Optimization in Recommender Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/SIBIRCON48586.2019.8958202
Final published version

Anton Dorozhko

Original language	English
Title of host publication	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	862-867
Number of pages	6
ISBN (Electronic)	9781728144016
ISBN (Print)	978-1-7281-4402-3
DOIs	https://doi.org/10.1109/SIBIRCON48586.2019.8958202
Publication status	Published - Oct 2019
Event	2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Russian Federation Duration: 21 Oct 2019 → 27 Oct 2019

Publication series

Name	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Conference

Conference	2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Country/Territory	Russian Federation
City	Novosibirsk
Period	21.10.2019 → 27.10.2019

Research areas

DDPG, deep reinforcement learning (DRL), long-Term value, recommender systems, reinforcement learning

ID: 28278727