Latest Articles for Game Theory

An exploration of a mathematical puzzle and its different elimination rules.

This article examines the role of the Pettis integral in economic models.

This paper presents Bayesian-CFR, enhancing decision-making in complex games with incomplete information.

New techniques improve envy-free cake-cutting among multiple participants.

A look into how decision-making problems interact in Mathematical Program Networks.

A look at how cheating affects casino winnings using mathematical models.

Research on how harmful agents can corrupt good agents in decentralized RL.

Study reveals quick paths to efficient Nash equilibria in potential games.

A clear look at why switching doors is the winning strategy.

Introducing innovative algorithms for complex optimization challenges.

An overview of stochastic games and their mean-payoff objectives.

Learn how game semantics clarifies program functions through interactive models.

Exploring policy gradient methods and their effects on decision-making in reinforcement learning.

A new approach to understanding complex reward functions in AI behavior.

This article reviews the importance of fairness in exchange systems and suggests a new approach.

New methods improve strategies for complex decision-making in zero-sum games.

An overview of positional games and their structure impacting player strategies.

A look at system behaviors and challenges in concurrent processes with TSO.

A look into stable partitions and their role in matching individuals based on preferences.

A new method enhances MCTS performance in complex decision-making environments.

This article examines the challenging nature of subtraction games in graph theory.

Exploring how caring for others enhances cooperation among individuals.

A new method enhances decision-making in uncertain environments using Monte-Carlo Tree Search.

A study on how agents make decisions in competitive environments using mean-field games.

New metrics shed light on the limitations of language models in representing reality.

An overview of strategies and objectives in two-player stochastic games.

Two algorithms improve decision-making for agents in competitive and cooperative environments.

This article presents a new algorithm for solving games on graphs efficiently.

Examining how communication skills impact AI performance in the game of Diplomacy.

A deep dive into strategies and challenges of Aggression, a two-player territory game.

Analyzing how decay functions change decision-making when revisiting rejected items.

Learn how to optimize search methods using randomized strategies and game theory.

A look at risk measures in decision-making for multi-agent frameworks.

A look into lexicographic maximization techniques and their practical uses.

This study examines merging MCTS with Combinatorial Optimization for improved board game AI.

Research on HOP boosts AI agents' adaptability in mixed-motive games.

A new approach in RL focuses on handling uncertainty for better decision-making.

Exploring how errors and loss affect quantum information sharing in cryptography.

Introducing an efficient algorithm for reinforcement learning with deterministic dynamics.

A study on robust strategies in Markov games under uncertainty.