Reinforcement Learning based Recommender System using Biclustering Technique

17 January 2018

Papers citing "Reinforcement Learning based Recommender System using Biclustering Technique"

20 / 20 papers shown

Title
Biclustering a dataset using photonic quantum computing Ajinkya Borle Ameya Bhave 16 0 0 28 May 2024
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models Craig Boutilier Martin Mladenov Guy Tennenholtz OffRL CML 44 9 0 08 Sep 2023
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations Dongkun Wang Wei Fan Pengyang Wang P. Wang Dongjie Wang Denghui Zhang Yanjie Fu 45 0 0 25 Dec 2022
Reinforced Imitative Graph Learning for Mobile User Profiling Dongjie Wang Pengyang Wang Yanjie Fu Kunpeng Liu Hui Xiong C. Hughes 13 10 0 13 Mar 2022
Edge-Compatible Reinforcement Learning for Recommendations James E. Kostas Philip S. Thomas Georgios Theocharous OffRL 23 0 0 10 Dec 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 31 31 0 14 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Optimized Recommender Systems with Deep Reinforcement Learning Lucas Farris OffRL 21 0 0 06 Oct 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 21 7 0 03 Oct 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 48 16 0 02 Oct 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 15 32 0 14 Mar 2021
Interactive Search Based on Deep Reinforcement Learning Yang Yu Zhenhao Gu Rongqi Tao Jingtian Ge Kenglun Chang OffRL 13 0 0 09 Dec 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication Xu He Bo An Yanghua Li Haikai Chen R. Wang Xinrun Wang Runsheng Yu Xin Zhe Li Zhirong Wang 23 29 0 21 Aug 2020
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiwang Yang Xiaobing Liu Jiliang Tang Hui Liu OffRL 17 98 0 09 Sep 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 30 25 0 27 Jun 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology Eugene Ie Vihan Jain Jing Wang Sanmit Narvekar Ritesh Agarwal ... Vince Gatto Paul Covington Jim McFadden Tushar Chandra Craig Boutilier OffRL 24 69 0 29 May 2019
Advantage Amplification in Slowly Evolving Latent-State Environments Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier OffRL 26 9 0 29 May 2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey Xiangyu Zhao Long Xia Jiliang Tang Dawei Yin OffRL 30 82 0 18 Dec 2018
Handling Cold-Start Collaborative Filtering with Reinforcement Learning Hima Varsha Dureddy Zachary Kaden OffRL HAI 19 3 0 16 Jun 2018
Deep Trustworthy Knowledge Tracing Heonseok Ha Uiwon Hwang Yongjun Hong Jahee Jang Sungroh Yoon AI4Ed KELM 18 6 0 28 May 2018