Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent
Reinforcement Learning

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning

17 September 2018

Papers citing "Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning"

9 / 9 papers shown

Title
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang Ruihong Qiu Xuwei Xu Jiajun Liu Sen Wang OffRL 34 0 0 12 May 2025
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation Guogang Liao Xiaowen Shi Zehua Wang Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang 27 10 0 01 Apr 2022
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed Guogang Liao Zewen Wang Xiaoxu Wu Xiaowen Shi Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang 33 36 0 09 Sep 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition Ryuichi Takanobu Runze Liang Minlie Huang LLMAG 19 54 0 08 Apr 2020
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning Ryuichi Takanobu Tao Zhuang Minlie Huang Jun Feng Haihong Tang Bo Zheng 19 17 0 24 Feb 2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey Xiangyu Zhao Long Xia Jiliang Tang Dawei Yin OffRL 9 82 0 18 Dec 2018