Cover Image

Fair Contracts in Principal-Agent Games with Heterogeneous Types

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tłuczek, Jakub, Villin, Victor, Dimitrakakis, Christos
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts
by: Ivanov, Dima, et al.
Published: (2024)

Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems
by: Villin, Victor, et al.
Published: (2025)

Stochastic Principal-Agent Problems: Efficient Computation and Learning
by: Gan, Jiarui, et al.
Published: (2023)

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
by: Zhang, Mengxiao, et al.
Published: (2024)

Principal-Agent Hypothesis Testing
by: Bates, Stephen, et al.
Published: (2022)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
by: Wang, Jianhong, et al.
Published: (2025)

Performative Prediction on Games and Mechanism Design
by: Góis, António, et al.
Published: (2024)

Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)

Independent Learning in Constrained Markov Potential Games
by: Jordan, Philip, et al.
Published: (2024)

AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
by: Ekpo, Promise, et al.
Published: (2025)

Fast and the Furious: Hot Starts in Pursuit-Evasion Games
by: Smithline, Gabriel, et al.
Published: (2025)

On the Power of Perturbation under Sampling in Solving Extensive-Form Games
by: Masaka, Wataru, et al.
Published: (2025)

Tractable Equilibrium Computation in Markov Games through Risk Aversion
by: Mazumdar, Eric, et al.
Published: (2024)

Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
by: Jordan, Philip, et al.
Published: (2025)

Grouped Satisficing Paths in Pure Strategy Games: a Topological Perspective
by: Fu, Yanqing, et al.
Published: (2025)

Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
by: Peng, Nianli, et al.
Published: (2024)

Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
by: Buratto, Alessandro, 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)

Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players
by: Alatur, Pragnya, et al.
Published: (2024)

Heterogeneous Multi-Agent Bandits with Parsimonious Hints
by: Mirfakhar, Amirmahdi, et al.
Published: (2025)

Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria
by: Barakat, Anas, et al.
Published: (2026)

Strategic Interactions in Multi-Level Stackelberg Games with Non-Follower Agents and Heterogeneous Leaders
by: Aminikalibar, Niloofar, et al.
Published: (2026)

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

Modelling the Dynamics of Identity and Fairness in Ultimatum Game
by: Chhabra, Janvi, et al.
Published: (2024)

RuleSmith: Multi-Agent LLMs for Automated Game Balancing
by: Zeng, Ziyao, et al.
Published: (2026)

Competitive Algorithms for Multi-Agent Ski-Rental Problems
by: Wang, Xuchuang, et al.
Published: (2025)

Factorised Active Inference for Strategic Multi-Agent Interactions
by: Ruiz-Serra, Jaime, et al.
Published: (2024)

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications
by: Landolt, Christoph R., et al.
Published: (2025)

Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
by: Shi, Laixi, et al.
Published: (2024)

Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
by: Bergerault, Antoine, 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)

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026)

A Single Online Agent Can Efficiently Learn Mean Field Games
by: Zhang, Chenyu, et al.
Published: (2024)

Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
by: Ji, Mengda, et al.
Published: (2025)

Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems
by: Mumcu, Furkan, et al.
Published: (2026)

Game-theoretic LLM: Agent Workflow for Negotiation Games
by: Hua, Wenyue, et al.
Published: (2024)

Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
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)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2024)