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Real-Time Bidding with Multi-Agent Reinforcement Learning in Display
  Advertising

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
ArXivPDFHTML

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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
1