DEAR: Deep Reinforcement Learning for Online Advertising Impression in
Recommender Systems

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems

9 September 2019

Haoshenglun Zhang

Papers citing "DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems"

16 / 16 papers shown

Title
Beyond Cascaded Architectures: An End-to-end Generative Framework for Industrial Advertising Zuowu Zheng Ze Wang Fan Yang Jiangke Fan Teng Zhang Xingxing Wang 10 0 0 23 May 2025
Generative Auto-Bidding with Value-Guided Explorations Jingtong Gao Yewen Li Shuai Mao Peng Jiang Nan Jiang ... Fei Pan Peng Jiang Kun Gai Bo An Xiangyu Zhao OffRL 67 0 0 20 Apr 2025
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Jue Chen Yaochu Jin FedML 96 0 0 23 Sep 2024
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems Jiahong Zhou Shunhui Mao Guoliang Yang Bo Tang Qianlong Xie Lebin Lin Xingxing Wang Dong Wang 42 8 0 27 Dec 2023
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation Chengpeng Li Zhengyi Yang Jizhi Zhang Jiancan Wu Dingxian Wang Xiangnan He Xiang Wang OffRL 57 1 0 25 Oct 2023
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation Ziru Liu Kecheng Chen Fengyi Song Bo Chen Xiangyu Zhao Huifeng Guo Ruiming Tang 26 3 0 14 Aug 2023
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed Xiaowen Shi Zehua Wang Yuanying Cai Xiaoxu Wu Fan Yang Guogang Liao Yongkang Wang Xingxing Wang Dong Wang OffRL 40 1 0 17 Apr 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 43 14 0 25 Feb 2023
Hierarchically Constrained Adaptive Ad Exposure in Feeds Dagui Chen Qi Yan Chunjie Chen Zhenzhe Zheng Yangsu Liu Zhenjia Ma Chuan Yu Jian Xu Bo Zheng 53 12 0 31 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 247 0 20 May 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Wei Shen Yongkang Wang Xingxing Wang Dong Wang OffRL 41 5 0 02 Apr 2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation Guogang Liao Xiaowen Shi Zehua Wang Xiaoxu Wu Wei Shen Yongkang Wang Xingxing Wang Dong Wang 37 12 0 01 Apr 2022
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed Guogang Liao Zewen Wang Xiaoxu Wu Xiaowen Shi Wei Shen Yongkang Wang Xingxing Wang Dong Wang 48 37 0 09 Sep 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 35 60 0 12 Jun 2021
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 387 13,383 0 25 Aug 2014
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 173 220 0 22 May 2012