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Real-Time Bidding by Reinforcement Learning in Display Advertising

10 January 2017

Yong Yu

Papers citing "Real-Time Bidding by Reinforcement Learning in Display Advertising"

50 / 89 papers shown

Title
BAT: Benchmark for Auto-bidding Task Alexandra Khirianova Ekaterina Solodneva Andrey Pudovikov Sergey Osokin Egor Samosvat Yuriy Dorn Alexander Ledovsky Yana Zenkova 162 0 0 13 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 179 0 0 20 Apr 2025
Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning Zhiyu Mou Miao Xu Rongquan Bai Zhuoran Yang Chuan Yu Jian Xu Bo Zheng 94 0 0 13 Mar 2025
RTBAgent: A LLM-based Agent System for Real-Time Bidding Leng Cai Junxuan He Yongqian Li Junjie Liang Yuanping Lin Ziming Quan Yawen Zeng Jin Xu OffRL 201 2 0 02 Feb 2025
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising Zhijian Duan Yusen Huo Tianyu Wang Zhilin Zhang Yuezun Li Chuan Yu Jian Xu Jian Xu Xiaotie Deng 68 0 0 26 Jan 2025
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding Shenghong He Chao Yu 92 0 0 26 Dec 2024
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL) Alberto Silvio Chiappa Briti Gangopadhyay Zhao Wang Shingo Takamatsu 151 1 0 16 Dec 2024
Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma Vishnu Vinod Abhradeep Thakurta Alekh Agarwal Borja Balle Christoph Dann A. Raghuveer OffRL 111 0 0 18 Nov 2024
Cost-Control in Display Advertising: Theory vs Practice Anoop R. Katti Rui C. Gonçalves Rinchin Iakovlev 51 0 0 05 Sep 2024
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search Peng Cheng Huimu Wang Jinyuan Zhao Yihao Wang Enqiang Xu ... Zhuojian Xiao Songlin Wang Guoyu Tang Lin Liu Sulong Xu 62 0 0 22 Jul 2024
AIGB: Generative Auto-bidding via Diffusion Modeling Jiayan Guo Yusen Huo Zhilin Zhang Tianyu Wang Chuan Yu Jian Xu Yan Zhang Bo Zheng DiffM 79 1 0 25 May 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning Hyunin Lee Ming Jin Javad Lavaei Somayeh Sojoudi OffRL 117 2 0 25 May 2024
AI-Olympics: Exploring the Generalization of Agents through Open Competitions Chen Wang Yan Song Shuai Wu Sa Wu Ruizhi Zhang Shu Lin Haifeng Zhang LM&Ro AI4CE 53 1 0 23 May 2024
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising Zhen Gong Lvyin Niu Yang Zhao Miao Xu Zhenzhe Zheng ... Fan Wu Rongquan Bai Chuan Yu Jian Xu Bo Zheng 91 2 0 05 Mar 2024
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities Luyang Hou Jun Yan Yuankai Wu Chun Wang Tie Qiu 60 0 0 28 Feb 2024
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding Haoming Li Yusen Huo Shuai Dou Zhenzhe Zheng Zhilin Zhang Chuan Yu Jian Xu Fan Wu OffRL 62 5 0 23 Feb 2024
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning Hao Wang Bo Tang Chi Harold Liu Shangqin Mao Jiahong Zhou Zipeng Dai Yaqi Sun Qianlong Xie Xingxing Wang Dong Wang OffRL 65 3 0 29 Dec 2023
Multi-Session Budget Optimization for Forward Auction-based Federated Learning Xiaoli Tang Han Yu 76 8 0 21 Nov 2023
On the Foundation of Distributionally Robust Reinforcement Learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OffRL 73 18 0 15 Nov 2023
Low-Rank MDPs with Continuous Action Spaces Andrew Bennett Nathan Kallus Miruna Oprescu 73 2 0 06 Nov 2023
Offline Reinforcement Learning for Optimizing Production Bidding Policies D. Korenkevych Frank Cheng Artsiom Balakir Alex Nikulkov Lingnan Gao Zhihao Cen Zuobing Xu Zheqing Zhu OffRL 71 1 0 13 Oct 2023
Ad-load Balancing via Off-policy Learning in a Content Marketplace Hitesh Sagtani M. Jhawar Rishabh Mehrotra Olivier Jeunen OffRL 117 6 0 19 Sep 2023
Insurance pricing on price comparison websites via reinforcement learning Tanut Treetanthiploet Yufei Zhang Lukasz Szpruch Isaac Bowers-Barnard Henrietta Ridley James Hickey C. Pearce OffRL 56 2 0 14 Aug 2023
Reinforcement Learning with Non-Cumulative Objective W. Cui Wei Yu 51 4 0 11 Jul 2023
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Sunil Madhow Dan Xiao Ming Yin Yu-Xiang Wang OffRL 97 0 0 24 Jun 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization Maziar Gomrokchi Owen Levin Jeffrey Roach Jonah White OffRL 90 1 0 21 Jun 2023
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning Haozhe Jasper Wang Chao Du Panyan Fang Li He Liangji Wang Bo Zheng 80 7 0 12 Jun 2023
Non-stationary Reinforcement Learning under General Function Approximation Songtao Feng Ming Yin Ruiquan Huang Yu Wang J. Yang Yitao Liang 61 8 0 01 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 126 41 0 01 Jun 2023
An Empirical Study on Google Research Football Multi-agent Scenarios Yan Song He Jiang Zheng Tian Haifeng Zhang Yingping Zhang Jiangcheng Zhu Zonghong Dai Weinan Zhang Jun Wang 70 6 0 16 May 2023
Improving Real-Time Bidding in Online Advertising Using Markov Decision Processes and Machine Learning Techniques Parikshit Sharma 20 0 0 05 May 2023
Bandits for Sponsored Search Auctions under Unknown Valuation Model: Case Study in E-Commerce Advertising Danil Provodin Jérémie Joudioux E. Duryev 50 0 0 31 Mar 2023
Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda Yanwu Yang Huiran Li 89 13 0 24 Feb 2023
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model Ido Zehori Nevo Itzhak Yuval Shahar Mia Dor Schiller 36 0 0 07 Feb 2023
Neural Insights for Digital Marketing Content Design F. Kong Yuan Li Houssam Nassif Tanner Fiez Ricardo Henao Shreya Chakrabarti 3DV 60 12 0 02 Feb 2023
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes Deguang Kong K. Shmakov Jian Yang 20 1 0 26 Dec 2022
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising Zhimeng Jiang Kaixiong Zhou Mi Zhang Rui Chen Helen Zhou Soo-Hyun Choi 39 3 0 06 Dec 2022
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis Mengjuan Liu Zhengning Hu Zhi Lai Daiwei Zheng Xuyun Nie 31 2 0 30 Nov 2022
Risk-Aware Bid Optimization for Online Display Advertisement Rui Fan Erick Delage 96 3 0 28 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 84 7 0 19 Oct 2022
Sustainable Online Reinforcement Learning for Auto-bidding Zhiyu Mou Yusen Huo Rongquan Bai Mingzhou Xie Chuan Yu Jian Xu Bo Zheng OffRL OnRL 100 17 0 13 Oct 2022
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion Fanglin Chen Xiao Liu Bo Tang Feiyu Xiong Serim Hwang Guomian Zhuang OffRL 52 1 0 16 Jul 2022
Functional Optimization Reinforcement Learning for Real-Time Bidding Yining Lu Chang-Tien Lu Naina Bandyopadhyay M. Kumar Gaurav Gupta 48 1 0 25 Jun 2022
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning Haozhe Jasper Wang Chao Du Panyan Fang Shuo Yuan Xu-Jiang He Liang Wang Bo Zheng 95 12 0 10 Jun 2022
Impression Allocation and Policy Search in Display Advertising Di Wu Cheng Chen Xiujun Chen Junwei Pan Xun Yang Qing Tan Jian Xu Kuang-chih Lee 24 4 0 11 Mar 2022
A Real-World Implementation of Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Akira Matsui Yuta Saito Isshu Munemasa Masashi Shibata 33 2 0 23 Feb 2022
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion Shiqi Wang Chongming Gao Min Gao Junliang Yu Zongwei Wang Hongzhi Yin 70 10 0 19 Feb 2022
Bid Optimization using Maximum Entropy Reinforcement Learning Mengjuan Liu Jinyu Liu Zhengning Hu Yuchen Ge Xuyun Nie 35 5 0 11 Oct 2021
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation Haruka Kiyohara K. Kawakami Yuta Saito OffRL 79 13 0 17 Sep 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 60 17 0 11 Jun 2021