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1802.09756
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Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
27 February 2018
Junqi Jin
Cheng-Ning Song
Han Li
Kun Gai
Jun Wang
Weinan Zhang
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Papers citing
"Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising"
21 / 21 papers shown
Title
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
Alberto Silvio Chiappa
Briti Gangopadhyay
Zhao Wang
Shingo Takamatsu
67
1
0
16 Dec 2024
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand
Ishani Karmarkar
Guannan Qu
83
1
0
01 Dec 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
G. dÉon
N. Newman
Kevin Leyton-Brown
32
0
0
29 Feb 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization
Maziar Gomrokchi
Owen Levin
Jeffrey Roach
Jonah White
OffRL
35
1
0
21 Jun 2023
Bandits for Sponsored Search Auctions under Unknown Valuation Model: Case Study in E-Commerce Advertising
Danil Provodin
Jérémie Joudioux
E. Duryev
24
0
0
31 Mar 2023
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis
Mengjuan Liu
Zhengning Hu
Zhi Lai
Daiwei Zheng
Xuyun Nie
24
2
0
30 Nov 2022
Functional Optimization Reinforcement Learning for Real-Time Bidding
Yining Lu
Chang-Tien Lu
Naina Bandyopadhyay
M. Kumar
Gaurav Gupta
19
1
0
25 Jun 2022
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
11
0
31 May 2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
Jing Wu
Ran Tao
Pan Zhao
N. F. Martin
N. Hovakimyan
OffRL
30
44
0
21 Apr 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
42
36
0
05 Aug 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
B. Hambly
Renyuan Xu
Huining Yang
23
25
0
27 Jul 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
29
15
0
11 Jun 2021
Distributed TD(0) with Almost No Communication
R. Liu
Alexander Olshevsky
FedML
28
15
0
16 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
36
28
0
30 Mar 2021
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Xiaotian Hao
Zhaoqing Peng
Yi Ma
Guanlong Wang
Junqi Jin
...
Zhenzhe Zheng
Chuan Yu
Han Li
Jian Xu
Kun Gai
15
26
0
29 Jun 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
32
65
0
10 Feb 2020
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Manxing Du
Alexander I. Cowen-Rivers
Ying Wen
Phu Sakulwongtana
Jun Wang
M. Brorsson
R. State
16
1
0
28 Feb 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
Learning Tree-based Deep Model for Recommender Systems
Ziru Xu
Xiang Li
Pengye Zhang
Guozheng Li
Jie He
Han Li
Kun Gai
27
286
0
08 Jan 2018
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