Cover Image

Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pudovikov, Andrey, Khirianova, Alexandra, Solodneva, Ekaterina, Katrutsa, Aleksandr, Samosvat, Egor, Dorn, Yuriy
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust autobidding for noisy conversion prediction models
by: Pudovikov, Andrey, et al.
Published: (2025)

Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
by: Zhigalskii, Ivan, et al.
Published: (2026)

RARe: Raising Ad Revenue Framework with Context-Aware Reranking
by: Solodneva, Ekaterina, et al.
Published: (2025)

BAT: Benchmark for Auto-bidding Task
by: Khirianova, Alexandra, et al.
Published: (2025)

Optimal Traffic Allocation for Multi-Slot Sponsored Search: Balance of Efficiency and Fairness
by: Soboleva, Anastasiia, et al.
Published: (2025)

Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise
by: Dorn, Yuriy, et al.
Published: (2024)

Chaos in Autobidding Auctions
by: Anagnostides, Ioannis, et al.
Published: (2026)

Autobidding Equilibria in Sponsored Shopping
by: Dütting, Paul, et al.
Published: (2026)

Platform Competition in the Autobidding World
by: Aggarwal, Gagan, et al.
Published: (2024)

Revenue Guarantees in Autobidding Platforms
by: Caragiannis, Ioannis, et al.
Published: (2026)

Complex Dynamics in Autobidding Systems
by: Leme, Renato Paes, et al.
Published: (2024)

Multi-Platform Autobidding with and without Predictions
by: Aggarwal, Gagan, et al.
Published: (2025)

Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
by: Badanidiyuru, Ashwinkumar
Published: (2026)

Tight Inapproximability for Welfare-Maximizing Autobidding Equilibria
by: Anagnostides, Ioannis, et al.
Published: (2026)

No-Regret Online Autobidding Algorithms in First-price Auctions
by: Deng, Yuan, et al.
Published: (2025)

Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics
by: Soboleva, Anastasiia, et al.
Published: (2025)

Optimal Type-Dependent Liquid Welfare Guarantees for Autobidding Agents with Budgets
by: Colini-Baldeschi, Riccardo, et al.
Published: (2025)

Strategic Candidacy in Generative AI Arenas
by: Hays, Chris, et al.
Published: (2026)

Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
by: Masoumian, Alireza, et al.
Published: (2024)

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
by: Li, Boning, et al.
Published: (2024)

Economics Arena for Large Language Models
by: Guo, Shangmin, et al.
Published: (2024)

The $k$-flip Ising game
by: Aleksandr, Kovalenko, et al.
Published: (2025)

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
by: Huang, Jiawei, et al.
Published: (2024)

Group-wise oracle-efficient algorithms for online multi-group learning
by: Deng, Samuel, et al.
Published: (2024)

Arena-Independent Memory Bounds for Nash Equilibria in Reachability Games
by: Main, James C. A.
Published: (2023)

On the Existence of Fair Allocations for Goods and Chores under Dissimilar Preferences
by: Gagushin, Egor, et al.
Published: (2025)

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

EFX and PO Allocation Exists for Two Types of Goods
by: Davidiuk, Vladimir, et al.
Published: (2026)

Structural Approach to Guiding a Present-Biased Agent
by: Belova, Tatiana, et al.
Published: (2026)

Likelihood Equilibria in the Ising Game
by: Leonidov, Andrey
Published: (2024)

Ordinal Potential-based Player Rating
by: Vadori, Nelson, et al.
Published: (2023)

Semivalue-based data valuation is arbitrary and gameable
by: Diehl, Hannah, et al.
Published: (2025)

How to guide a present-biased agent through prescribed tasks?
by: Belova, Tatiana, et al.
Published: (2024)

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

Intelligent Agents for Auction-based Federated Learning: A Survey
by: Tang, Xiaoli, et al.
Published: (2024)

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
by: Yang, Tong, et al.
Published: (2025)

The effect of competition in contests: A unifying approach
by: Baranski, Andrzej, et al.
Published: (2024)

An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes
by: Karimzadeh, Aigin, et al.
Published: (2024)

Re-evaluating Open-ended Evaluation of Large Language Models
by: Liu, Siqi, et al.
Published: (2025)

Deciding regular games: a playground for exponential time algorithms
by: Liang, Zihui, et al.
Published: (2024)