A Lightweight MPC Bidding Framework for Brand Auction Ads

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yuanlong, Zhu, Bowen, Xia, Bing, Wang, Yichuan
Format:	Preprint
Published:	2026
Subjects:	Computer Science and Game Theory Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market
by: Jiang, Jun, et al.
Published: (2025)

Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
by: Kumar, Rachitesh, et al.
Published: (2024)

Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity
by: Wang, Yige, et al.
Published: (2025)

Bandits for Sponsored Search Auctions under Unknown Valuation Model: Case Study in E-Commerce Advertising
by: Provodin, Danil, et al.
Published: (2023)

Double Distributionally Robust Bid Shading for First Price Auctions
by: Qu, Yanlin, et al.
Published: (2024)

Adaptive Optimisation of Ride-Pooling Personalised Fares in a Stochastic Framework
by: Bujak, Michal, et al.
Published: (2025)

Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
by: Han, Yanjun, et al.
Published: (2020)

Learning to Bid in Non-Stationary Repeated First-Price Auctions
by: Hu, Zihao, et al.
Published: (2025)

Generative Bid Shading in Real-Time Bidding Advertising
by: Huang, Yinqiu, et al.
Published: (2025)

Online Causal Inference for Advertising in Real-Time Bidding Auctions
by: Waisman, Caio, et al.
Published: (2019)

An Explainable Equity-Aware P2P Energy Trading Framework for Socio-Economically Diverse Microgrid
by: Theja, Abhijan, et al.
Published: (2025)

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
by: Johri, Aniket, et al.
Published: (2025)

Prosumers Participation in Markets: A Scalar-Parameterized Function Bidding Approach
by: Alawad, Abdullah, et al.
Published: (2023)

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
by: Li, Tao, et al.
Published: (2024)

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner
by: Li, Yewen, et al.
Published: (2025)

Analyzing the Impact of Strategic Bidding on the Reserve Capacity via a Bi-Level Model
by: Xu, Yun, et al.
Published: (2025)

Multi-Interval Energy-Reserve Co-Optimization with SoC-Dependent Bids from Battery Storage
by: Chen, Cong, et al.
Published: (2024)

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm
by: Abate, Arega Getaneh, et al.
Published: (2024)

Auctioning Future Services in Edge Networks with Moving Vehicles: N-Step Look-Ahead Contracts for Sustainable Resource Provision
by: Ling, Ziqi, et al.
Published: (2025)

Joint Value Estimation and Bidding in Repeated First-Price Auctions
by: Wen, Yuxiao, et al.
Published: (2025)

MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
by: Bhusal, Gokul, et al.
Published: (2024)

A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
by: Cao, Jiaxing, et al.
Published: (2025)

A Soft Inducement Framework for Incentive-Aided Steering of No-Regret Players
by: Yorulmaz, Asrin Efe, et al.
Published: (2025)

Multi-Attribute Auctions for Efficient Operation of Non-Cooperative Relaying Systems
by: Hurst, Winston, et al.
Published: (2024)

Active Inverse Learning in Stackelberg Trajectory Games
by: Ward, William, et al.
Published: (2023)

Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence
by: Wu, Jiduan, et al.
Published: (2023)

Data Trading Combination Auction Mechanism based on the Exponential Mechanism
by: Chen, Kongyang, et al.
Published: (2024)

Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games
by: Hu, Junkai, et al.
Published: (2025)

Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis (Extended Version)
by: Manvi, Bharat, et al.
Published: (2024)

A Resilience Framework for Bi-Criteria Combinatorial Optimization with Bandit Feedback
by: Aggarwal, Vaneet, et al.
Published: (2025)

Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
by: Alghumayjan, Saud, et al.
Published: (2024)

Last-Iterate Guarantees for Learning in Co-coercive Games
by: Chandak, Siddharth, et al.
Published: (2026)

Personalized incentives as feedback design in generalized Nash equilibrium problems
by: Fabiani, Filippo, et al.
Published: (2022)

Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
by: Chasnov, Benjamin, et al.
Published: (2019)

HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
by: Wang, Hao, et al.
Published: (2023)

Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
by: Kara, Semih, et al.
Published: (2025)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2024)

Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
by: Chandak, Siddharth, et al.
Published: (2025)

Selling Joint Ads: A Regret Minimization Perspective
by: Aggarwal, Gagan, et al.
Published: (2024)

Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments
by: Leon, Vincent, et al.
Published: (2025)