Cover Image

Infinite Horizon Markov Economies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goktas, Denizalp, Zhao, Sadie, Chen, Yiling, Greenwald, Amy
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convex-Concave Zero-sum Markov Stackelberg Games
by: Goktas, Denizalp, et al.
Published: (2024)

Tractable General Equilibrium
by: Goktas, Denizalp, et al.
Published: (2025)

Banzhaf Power in Hierarchical Voting Games
by: Randolph, John, et al.
Published: (2025)

Tâtonnement in Homothetic Fisher Markets
by: Goktas, Denizalp, et al.
Published: (2023)

Efficient Inverse Multiagent Learning
by: Goktas, Denizalp, et al.
Published: (2025)

Bi-Level Policy Optimization with Nyström Hypergradients
by: Prakash, Arjun, et al.
Published: (2025)

Learning to Persuade a Biased Receiver
by: Pan, Yuqi, et al.
Published: (2026)

Convergent Q-Learning for Infinite-Horizon General-Sum Markov Games through Behavioral Economics
by: Zhang, Yizhou, et al.
Published: (2025)

Empirical Game-Theoretic Analysis: A Survey
by: Wellman, Michael P., et al.
Published: (2024)

Robustness of voting mechanisms to external information in expectation
by: Chen, Yiling, et al.
Published: (2024)

A Mathematical Programming Approach to Computing and Learning Berk--Nash Equilibria in Infinite-Horizon MDPs
by: Zhu, Quanyan, et al.
Published: (2026)

Value-Set Iteration: Computing Optimal Correlated Equilibria in Infinite-Horizon Multi-Player Stochastic Games
by: Gan, Jiarui, et al.
Published: (2025)

Carrot and Stick: Eliciting Comparison Data and Beyond
by: Chen, Yiling, et al.
Published: (2024)

A Persuasive Approach to Combating Misinformation
by: Hossain, Safwan, et al.
Published: (2023)

Learning a Game by Paying the Agents
by: Zhang, Brian Hu, et al.
Published: (2025)

Equilibrium of Data Markets with Externality
by: Hossain, Safwan, et al.
Published: (2023)

Infinite lexicographic products of positional objectives
by: Casares, Antonio, et al.
Published: (2025)

Bias Detection Via Signaling
by: Chen, Yiling, et al.
Published: (2024)

Combinatorial Markov Search
by: Bowers, Robin, et al.
Published: (2025)

Solving Infinite-Player Games with Player-to-Strategy Networks
by: Martin, Carlos, et al.
Published: (2025)

Optimal Scoring Rule Design under Partial Knowledge
by: Chen, Yiling, et al.
Published: (2021)

Self-Resolving Prediction Markets for Unverifiable Outcomes
by: Srinivasan, Siddarth, et al.
Published: (2023)

Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
by: Brero, Gianluca, et al.
Published: (2022)

On the Theoretical Foundations of Data Exchange Economies
by: Akrami, Hannaneh, et al.
Published: (2024)

Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance
by: Zhao, Hangyi
Published: (2026)

On characterization and existence of constrained correlated equilibria in Markov games
by: Ni, Tingting, et al.
Published: (2025)

Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
by: Benyamine, Axel, et al.
Published: (2026)

Persuading a Behavioral Agent: Approximately Best Responding and Learning
by: Chen, Yiling, et al.
Published: (2023)

Simultaneous AlphaZero: Extending Tree Search to Markov Games
by: Becker, Tyler, et al.
Published: (2025)

Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
by: Badger, Keith, et al.
Published: (2025)

Markov Decision Processes with Sure Parity and Multiple Reachability Objectives
by: Berthon, Raphaël, et al.
Published: (2024)

The Algorithmic Landscape of Fair and Efficient Distribution of Delivery Orders in the Gig Economy
by: Hosseini, Hadi, et al.
Published: (2025)

Optimising expectation with guarantees for window mean payoff in Markov decision processes
by: Gaba, Pranshu, et al.
Published: (2025)

Data Reliability Scoring
by: Chen, Yiling, et al.
Published: (2025)

Learning in Stackelberg Markov Games
by: He, Jun, et al.
Published: (2025)

A Control Theoretic Approach to Decentralized AI Economy Stabilization via Dynamic Buyback-and-Burn Mechanisms
by: Cheng, Zehua, et al.
Published: (2026)

Verifying Equilibria in Finite-Horizon Probabilistic Concurrent Game Systems
by: Rajasekaran, Senthil, et al.
Published: (2025)

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
by: Kalogiannis, Fivos, et al.
Published: (2024)

WOMAC: A Mechanism For Prediction Competitions
by: Srinivasan, Siddarth, et al.
Published: (2025)

Decentralized MARL for Coarse Correlated Equilibrium in Aggregative Markov Games
by: Huang, Siying, et al.
Published: (2026)