Performative Prediction on Games and Mechanism Design
Fuente:
arXiv
Saved in:
| Main Authors: | Góis, António, Mofakhami, Mehrnaz, Santos, Fernando P., Gidel, Gauthier, Lacoste-Julien, Simon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performative Prediction with Neural Networks
by: Mofakhami, Mehrnaz, et al.
Published: (2023)
by: Mofakhami, Mehrnaz, et al.
Published: (2023)
Learning Optimal Tax Design in Nonatomic Congestion Games
by: Cui, Qiwen, et al.
Published: (2024)
by: Cui, Qiwen, et al.
Published: (2024)
Independent Learning in Constrained Markov Potential Games
by: Jordan, Philip, et al.
Published: (2024)
by: Jordan, Philip, et al.
Published: (2024)
Fair Contracts in Principal-Agent Games with Heterogeneous Types
by: Tłuczek, Jakub, et al.
Published: (2025)
by: Tłuczek, Jakub, et al.
Published: (2025)
Fast and the Furious: Hot Starts in Pursuit-Evasion Games
by: Smithline, Gabriel, et al.
Published: (2025)
by: Smithline, Gabriel, et al.
Published: (2025)
Tractable Equilibrium Computation in Markov Games through Risk Aversion
by: Mazumdar, Eric, et al.
Published: (2024)
by: Mazumdar, Eric, et al.
Published: (2024)
On the Power of Perturbation under Sampling in Solving Extensive-Form Games
by: Masaka, Wataru, et al.
Published: (2025)
by: Masaka, Wataru, et al.
Published: (2025)
Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
by: Peng, Nianli, et al.
Published: (2024)
by: Peng, Nianli, et al.
Published: (2024)
Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
by: Jordan, Philip, et al.
Published: (2025)
by: Jordan, Philip, et al.
Published: (2025)
Grouped Satisficing Paths in Pure Strategy Games: a Topological Perspective
by: Fu, Yanqing, et al.
Published: (2025)
by: Fu, Yanqing, et al.
Published: (2025)
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
by: Buratto, Alessandro, et al.
Published: (2025)
by: Buratto, Alessandro, et al.
Published: (2025)
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
by: Wang, Jianhong, et al.
Published: (2025)
by: Wang, Jianhong, et al.
Published: (2025)
Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
by: Jordan, Philip, et al.
Published: (2026)
by: Jordan, Philip, et al.
Published: (2026)
Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players
by: Alatur, Pragnya, et al.
Published: (2024)
by: Alatur, Pragnya, et al.
Published: (2024)
Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria
by: Barakat, Anas, et al.
Published: (2026)
by: Barakat, Anas, et al.
Published: (2026)
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
by: Shi, Chengshuai, et al.
Published: (2024)
by: Shi, Chengshuai, et al.
Published: (2024)
Learning from Delayed Feedback in Games via Extra Prediction
by: Fujimoto, Yuma, et al.
Published: (2025)
by: Fujimoto, Yuma, et al.
Published: (2025)
Linear Convergence in Games with Delayed Feedback via Extra Prediction
by: Fujimoto, Yuma, et al.
Published: (2026)
by: Fujimoto, Yuma, et al.
Published: (2026)
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)
by: Corecco, Nathan, et al.
Published: (2025)
Offline congestion games: How feedback type affects data coverage requirement
by: Jiang, Haozhe, et al.
Published: (2022)
by: Jiang, Haozhe, et al.
Published: (2022)
Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
by: Kara, Semih, et al.
Published: (2025)
by: Kara, Semih, et al.
Published: (2025)
Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
by: Chandak, Siddharth, et al.
Published: (2025)
by: Chandak, Siddharth, et al.
Published: (2025)
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2024)
by: Wu, Zida, et al.
Published: (2024)
Learning Recommender Mechanisms for Bayesian Stochastic Games
by: Guresti, Bengisu, et al.
Published: (2025)
by: Guresti, Bengisu, et al.
Published: (2025)
Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games
by: Lanier, JB, et al.
Published: (2026)
by: Lanier, JB, et al.
Published: (2026)
Steering Noncooperative Games Through Conjecture Design
by: Morri, Francesco, et al.
Published: (2025)
by: Morri, Francesco, et al.
Published: (2025)
Auto-Encoding Bayesian Inverse Games
by: Liu, Xinjie, et al.
Published: (2024)
by: Liu, Xinjie, et al.
Published: (2024)
Evaluating LLMs in Open-Source Games
by: Sistla, Swadesh, et al.
Published: (2025)
by: Sistla, Swadesh, et al.
Published: (2025)
Observation Interference in Partially Observable Assistance Games
by: Emmons, Scott, et al.
Published: (2024)
by: Emmons, Scott, et al.
Published: (2024)
Offline Fictitious Self-Play for Competitive Games
by: Chen, Jingxiao, et al.
Published: (2024)
by: Chen, Jingxiao, et al.
Published: (2024)
Solving Zero-Sum Convex Markov Games
by: Kalogiannis, Fivos, et al.
Published: (2025)
by: Kalogiannis, Fivos, et al.
Published: (2025)
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
by: Chasparis, Georgios C.
Published: (2025)
by: Chasparis, Georgios C.
Published: (2025)
Bounded Rationality Equilibrium Learning in Mean Field Games
by: Eich, Yannick, et al.
Published: (2024)
by: Eich, Yannick, et al.
Published: (2024)
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)
by: Li, Zun, et al.
Published: (2023)
Online Learning of Counter Categories and Ratings in PvP Games
by: Lin, Chiu-Chou, et al.
Published: (2025)
by: Lin, Chiu-Chou, et al.
Published: (2025)
RuleSmith: Multi-Agent LLMs for Automated Game Balancing
by: Zeng, Ziyao, et al.
Published: (2026)
by: Zeng, Ziyao, et al.
Published: (2026)
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
by: Çelikok, Mustafa Mert, et al.
Published: (2024)
by: Çelikok, Mustafa Mert, et al.
Published: (2024)
An Algorithmic Theory of Simplicity in Mechanism Design
by: Ferraioli, Diodato, et al.
Published: (2024)
by: Ferraioli, Diodato, et al.
Published: (2024)
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)
by: Liu, Xiangyu, et al.
Published: (2023)
Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
by: Yongacoglu, Bora, et al.
Published: (2023)
by: Yongacoglu, Bora, et al.
Published: (2023)
Similar Items
-
Performative Prediction with Neural Networks
by: Mofakhami, Mehrnaz, et al.
Published: (2023) -
Learning Optimal Tax Design in Nonatomic Congestion Games
by: Cui, Qiwen, et al.
Published: (2024) -
Independent Learning in Constrained Markov Potential Games
by: Jordan, Philip, et al.
Published: (2024) -
Fair Contracts in Principal-Agent Games with Heterogeneous Types
by: Tłuczek, Jakub, et al.
Published: (2025) -
Fast and the Furious: Hot Starts in Pursuit-Evasion Games
by: Smithline, Gabriel, et al.
Published: (2025)