Cover Image

Impact of Decentralized Learning on Player Utilities in Stackelberg Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Donahue, Kate, Immorlica, Nicole, Jagadeesan, Meena, Lucier, Brendan, Slivkins, Aleksandrs
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
by: Immorlica, Nicole, et al.
Published: (2024)

Optimal Selection Using Algorithmic Rankings with Side Information
by: Donahue, Kate, et al.
Published: (2025)

Algorithmic Persuasion Through Simulation
by: Harris, Keegan, et al.
Published: (2023)

Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
by: Lucier, Brendan, et al.
Published: (2023)

Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
by: Ali, S. Nageeb, et al.
Published: (2025)

Incentivizing Exploration with Selective Data Disclosure
by: Immorlica, Nicole, et al.
Published: (2018)

Exploration and Persuasion
by: Slivkins, Aleksandrs
Published: (2024)

Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence
by: Gaitonde, Jason, et al.
Published: (2022)

Adaptive Discretization against an Adversary: Lipschitz bandits, Dynamic Pricing, and Auction Tuning
by: Podimata, Chara, et al.
Published: (2020)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)

Agentic Markets: Equilibrium Effects of Improving Consumer Search
by: Lucier, Brendan, et al.
Published: (2026)

Eliciting Informed Preferences
by: Camara, Modibo K., et al.
Published: (2025)

Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)

Bandit Social Learning: Exploration under Myopic Behavior
by: Banihashem, Kiarash, et al.
Published: (2023)

Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
by: Kampezidou, Styliani I., et al.
Published: (2023)

Competing Bandits: The Perils of Exploration Under Competition
by: Aridor, Guy, et al.
Published: (2020)

Bandit Social Learning with Exploration Episodes
by: Banihashem, Kiarash, et al.
Published: (2026)

Breaking Algorithmic Collusion in Human-AI Ecosystems
by: Collina, Natalie, et al.
Published: (2025)

Communicating with Anecdotes
by: Haghtalab, Nika, et al.
Published: (2022)

Learning in Bayesian Stackelberg Games With Unknown Follower's Types
by: Bollini, Matteo, et al.
Published: (2026)

Impacts of Aggregation on Model Diversity and Consumer Utility
by: Donahue, Kate, et al.
Published: (2026)

Exploration and Incentivizing Participation in Randomized Trials
by: Li, Yingkai, et al.
Published: (2022)

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
by: Balcan, Maria-Florina, et al.
Published: (2025)

Regret Minimization in Stackelberg Games with Side Information
by: Harris, Keegan, et al.
Published: (2024)

Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
by: Kudo, Mikoto, et al.
Published: (2024)

Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
by: Masiha, Saeed, et al.
Published: (2026)

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

Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
by: Jagadeesan, Meena, et al.
Published: (2023)

Learning to Play Multi-Follower Bayesian Stackelberg Games
by: Personnat, Gerson, et al.
Published: (2025)

Two-Player Zero-Sum Games with Bandit Feedback
by: Yılmaz, Elif, et al.
Published: (2025)

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
by: Park, Charlotte, et al.
Published: (2026)

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
by: Yuwono, Steve, et al.
Published: (2024)

Incentivizing High-Quality Content in Online Recommender Systems
by: Hu, Xinyan, et al.
Published: (2023)

Learning in Stackelberg Games with Non-myopic Agents
by: Haghtalab, Nika, et al.
Published: (2022)

Corruption-Robust Offline Two-Player Zero-Sum Markov Games
by: Nika, Andi, et al.
Published: (2024)

Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
by: Park, Chanwoo, et al.
Published: (2023)

Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026)

Convergence of Learning Dynamics in Stackelberg Games
by: Fiez, Tanner, et al.
Published: (2019)

Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
by: Altabaa, Awni, et al.
Published: (2023)

Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
by: Dean, Sarah, et al.
Published: (2024)