Overview

Automated bidding studies how advertisers and other agents choose bids across repeated auctions to win valuable opportunities while meeting budgets, return, or service constraints. Methods range from dual-based pacing and online bandit algorithms to model-predictive control, reinforcement learning, and generative policies, often using auction forecasts and safe fallback controls. Work spans first- and second-price advertising auctions as well as electricity, spectrum, procurement, and computing markets, evaluated with simulations, benchmarks, and online tests. A central challenge is adapting to changing or unreliable feedback while satisfying constraints; better predictions and more sophisticated agents do not automatically improve welfare, fairness, or platform outcomes.

Latest papers

CardsList

37 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

  1. Impossibility of No-Regret in Multi-Agent Bidding

    Oct 27, 2026Zongjun Yang, Rachitesh Kumar, Christian KroerRegret MinimizationAutomated Bidding

  2. Reinforcement Learning for Controller Parameters in the Auto-Bidding System at Pinterest

    Oct 23, 2026Yichu Zhou, Qinyi Chen, Fei Feng +5Automated BiddingRL Control

  3. Decentralized LLM Workflows via Sequential Auctions

    Oct 15, 2026Ian Gemp, Shubhendu Trivedi, Adam Fisch +7Agentic WorkflowsAutomated Bidding

  4. Price of Anarchy of First-Price Auctions in Agentic Markets

    Oct 14, 2026Shubhendu Trivedi, Jacob Eisenstein, Alekh Agarwal +3Price of AnarchyMechanism Design

  5. Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce

    Oct 5, 2026Xiaolin Xu, Donghao ZhuMulti-Agent System OptimizationAutomated Negotiation

  6. Inference Auctions

    Sep 30, 2026Keegan Harris, Siddharth Prasad, Asher Trockman +2Mechanism DesignAutomated Bidding

  7. OneBid: A Unified Auto-Bidding Foundation Model for Diverse oCPX Advertising Scenarios

    Sep 18, 2026Yewen Li, Peng Jiang, Yitian Li +4Automated BiddingOnline Advertising

  8. CABAL: Multi-Agent Simulacra for Tracing the Effects of Collusive Bidding in Peer Review

    Sep 4, 2026Jicheng Zhou, Kemou Li, Kahim Wong +5Scholarly Peer ReviewAutomated Bidding

  9. AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion

    Aug 27, 2026Jakub Seredyński, Georgios TsaousoglouAlgorithmic CollusionAutomated Bidding

  10. PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

    Jul 29, 2026Shengtian Yang, Yewen Li, Peng Jiang +5Benchmark DesignAutomated Bidding

  11. Collusion with Competitive Marginals: Price-Level Audits Are Blind by Construction

    Jul 29, 2026Xin Xu, Chengrui Wu, Jiayu Lu +3Algorithmic AuditingAutomated Bidding

  12. Beyond Single-Episode Optimization: Sliding-Window Aware Generative Auto-Bidding for Long-Term Advertising Effectiveness

    Jul 28, 2026Binglin Wu, Chuan Yue, Yingyi Zhang +4Automated BiddingOnline Advertising

  13. AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization

    Jul 19, 2026Yuejia Dou, Hesong Wang, Xinyu Zhang +6Automated BiddingLarge Language Model-Guided Optimization

  14. Learning to Bid in Discriminatory Auctions with Budget Constraints

    Jun 28, 2026Negin Golrezaei, Sourav SahooGame TheoryAutomated Bidding

  15. A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions

    Jun 27, 2026Junhan Li, Yuxin Zhang, Haoran Wang +1Multi-Objective Reinforcement LearningGame Theory

  16. DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation

    Jun 12, 2026Miduo Cui, Haochen Wang, Shangqin Mao +6Distributional RLAutomated Bidding

  17. Learning to Bid in FCR Markets: A Best-of-Both-Worlds Approach

    May 29, 2026Marius Potfer, Cheng Wan, Pierre GruetCombinatorial Semi-BanditsAutomated Bidding

  18. Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?

    May 29, 2026Ashwinkumar BadanidiyuruGame TheoryAutomated Bidding

  19. Constrained Auto-Bidding via Generative Response Modeling

    May 27, 2026Eunseok Yang, Xingdong Zuo, Kyung-Min KimAutomated BiddingOnline Advertising

  20. Do Not Trust The Auctioneer: Learning to Bid in Feedback-Manipulated Auctions

    May 21, 2026Luigi Foscari, Matilde Tullii, Vianney PerchetGame TheoryAutomated Bidding

  21. Generative Auto-Bidding with Unified Modeling and Exploration

    May 19, 2026Mingming Zhang, Feiqing Zhuang, Na Li +7Automated BiddingOnline Advertising

  22. On the Role of Language Representations in Auto-Bidding: Findings and Implications

    May 7, 2026Guanyu Zhu, Jining Luan, Hanwen Du +11Automated BiddingOnline Advertising

  23. The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions

    May 3, 2026Yuxiao Wen, Zihao Hu, Yanjun Han +2Causal Effect EstimationAutomated Bidding

  24. Efficiency of Proportional Mechanisms in Online Auto-Bidding Advertising

    Apr 14, 2026Nguyen Kim ThangPrice of AnarchyMechanism Design

  25. A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets

    Apr 11, 2026Zunnan Xu, Zhaoxia Jing, Zhanhua PanAutomated BiddingConstrained RL

  26. JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing

    Apr 7, 2026Linghui Meng, Chun Gan, Shengsheng Niu +8Automated BiddingReal-Time Bidding

  27. LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting

    Mar 5, 2026Yewen Li, Zhiyi Lyu, Peng Jiang +4Automated BiddingReal-Time Bidding