Breaking Algorithmic Collusion in Human-AI Ecosystems
Fuente:
arXiv
Saved in:
| Main Authors: | Collina, Natalie, Arunachaleswaran, Eshwar Ram, Jagadeesan, Meena |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Algorithmic Collusion Without Threats
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
Learning to Play Against Unknown Opponents
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
Pareto-Optimal Algorithms for Learning in Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
Efficient Stackelberg Strategies for Finitely Repeated Games
by: Collina, Natalie, et al.
Published: (2022)
by: Collina, Natalie, et al.
Published: (2022)
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
by: Immorlica, Nicole, et al.
Published: (2024)
by: Immorlica, Nicole, et al.
Published: (2024)
Is Thompson Sampling Susceptible to Algorithmic Collusion?
by: Xiong, Yi, et al.
Published: (2024)
by: Xiong, Yi, et al.
Published: (2024)
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)
by: Donahue, Kate, et al.
Published: (2024)
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
by: Dean, Sarah, et al.
Published: (2024)
by: Dean, Sarah, et al.
Published: (2024)
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
by: Jagadeesan, Meena, et al.
Published: (2023)
by: Jagadeesan, Meena, et al.
Published: (2023)
Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents
by: Tinoco, Sebastián, et al.
Published: (2025)
by: Tinoco, Sebastián, et al.
Published: (2025)
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability
by: Collina, Natalie, et al.
Published: (2024)
by: Collina, Natalie, et al.
Published: (2024)
Incentivizing High-Quality Content in Online Recommender Systems
by: Hu, Xinyan, et al.
Published: (2023)
by: Hu, Xinyan, et al.
Published: (2023)
Power and Limitations of Aggregation in Compound AI Systems
by: Ananthakrishnan, Nivasini, et al.
Published: (2026)
by: Ananthakrishnan, Nivasini, et al.
Published: (2026)
Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism
by: Wen, Garrett G., et al.
Published: (2026)
by: Wen, Garrett G., et al.
Published: (2026)
Tractable Agreement Protocols
by: Collina, Natalie, et al.
Published: (2024)
by: Collina, Natalie, et al.
Published: (2024)
Emergent Alignment via Competition
by: Collina, Natalie, et al.
Published: (2025)
by: Collina, Natalie, et al.
Published: (2025)
The Bounds of Algorithmic Collusion; $Q$-learning, Gradient Learning, and the Folk Theorem
by: Askenazi-Golan, Galit, et al.
Published: (2024)
by: Askenazi-Golan, Galit, et al.
Published: (2024)
How Market Volatility Shapes Algorithmic Collusion: A Comparative Analysis of Learning-Based Pricing Algorithms
by: Sravon, Aheer, et al.
Published: (2025)
by: Sravon, Aheer, et al.
Published: (2025)
Learning and Collusion in Multi-unit Auctions
by: Brânzei, Simina, et al.
Published: (2023)
by: Brânzei, Simina, et al.
Published: (2023)
Algorithmic Pricing and Algorithmic Collusion
by: Bichler, Martin, et al.
Published: (2025)
by: Bichler, Martin, et al.
Published: (2025)
Bandit Social Learning with Exploration Episodes
by: Banihashem, Kiarash, et al.
Published: (2026)
by: Banihashem, Kiarash, et al.
Published: (2026)
The Value of Ambiguous Commitments in Multi-Follower Games
by: Collina, Natalie, et al.
Published: (2024)
by: Collina, Natalie, et al.
Published: (2024)
Evaluating LLM Agent Collusion in Double Auctions
by: Agrawal, Kushal, et al.
Published: (2025)
by: Agrawal, Kushal, et al.
Published: (2025)
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
by: Su, Buxin, et al.
Published: (2024)
by: Su, Buxin, et al.
Published: (2024)
Collaborative Prediction: Tractable Information Aggregation via Agreement
by: Collina, Natalie, et al.
Published: (2025)
by: Collina, Natalie, et al.
Published: (2025)
Personalization Aids Pluralistic Alignment Under Competition
by: Collina, Natalie, et al.
Published: (2026)
by: Collina, Natalie, et al.
Published: (2026)
Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
by: Zhao, Hangcheng, et al.
Published: (2025)
by: Zhao, Hangcheng, et al.
Published: (2025)
Algorithmic Collusion is Algorithm Orchestration
by: Carissimo, Cesare, et al.
Published: (2025)
by: Carissimo, Cesare, et al.
Published: (2025)
Regulation of Algorithmic Collusion
by: Hartline, Jason D., et al.
Published: (2024)
by: Hartline, Jason D., et al.
Published: (2024)
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
by: Lv, Xinpeng, et al.
Published: (2025)
by: Lv, Xinpeng, et al.
Published: (2025)
Algorithmic Feature Highlighting for Human-AI Decision-Making
by: Guo, Yifan, et al.
Published: (2026)
by: Guo, Yifan, et al.
Published: (2026)
Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion
by: Bichler, Martin, et al.
Published: (2024)
by: Bichler, Martin, et al.
Published: (2024)
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
by: Ali, S. Nageeb, et al.
Published: (2025)
by: Ali, S. Nageeb, et al.
Published: (2025)
An Elementary Predictor Obtaining $2\sqrt{T}+1$ Distance to Calibration
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024)
Algorithmic Robust Forecast Aggregation
by: Guo, Yongkang, et al.
Published: (2024)
by: Guo, Yongkang, et al.
Published: (2024)
On Randomized Algorithms in Online Strategic Classification
by: Hutton, Chase, et al.
Published: (2026)
by: Hutton, Chase, et al.
Published: (2026)
Algorithmic Collective Action in Machine Learning
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
Adaptive Bandit Algorithms for Contextual Matching Markets
by: Lin, Shiyun, et al.
Published: (2026)
by: Lin, Shiyun, et al.
Published: (2026)
Clarification of `Algorithmic Collusion without Threats'
by: Hartline, Jason
Published: (2026)
by: Hartline, Jason
Published: (2026)
Similar Items
-
Algorithmic Collusion Without Threats
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024) -
Learning to Play Against Unknown Opponents
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024) -
Pareto-Optimal Algorithms for Learning in Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2024) -
Efficient Stackelberg Strategies for Finitely Repeated Games
by: Collina, Natalie, et al.
Published: (2022) -
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
by: Arunachaleswaran, Eshwar Ram, et al.
Published: (2025)