Latest Articles for Game Theory

This study analyzes how players' risk levels affect rewards in competitive environments.

Analyzing how small groups protect against competition.

This article discusses designing systems for better decision-making in multi-agent environments.

New framework enhances AI's ability to work with unfamiliar humans.

DEGAS offers efficient solutions to complex problems with variable delays.

A study on optimizing actions in large groups of interacting agents.

This article explores how bounded epistemic logic models knowledge limitations.

This article explores how bots impact cooperation in optional prisoner's dilemma games.

Exploring methods to enhance AI decision-making through curiosity and experience.

Examining key aspects of loss functions in predicting human behavior.

Innovative strategies for improving AI's response to unexpected situations.

A look at cautious belief and iterated admissibility's role in strategic decision-making.

This article presents a framework for maximizing rewards in the restless bandit problem.

Explore the dynamics of zero forcing and its applications in various fields.

A new approach enhances reasoning and planning for agents in complex environments.

A new method clarifies how state features affect agent performance in reinforcement learning.

A study on how agents can optimize decisions over time in complex interactions.

CORTICAL uses cooperative games to enhance channel capacity learning in communication systems.

Analyzing the risks of data poisoning in MARL systems.

Learn about efficient methods for tackling complex saddle-point problems.

An overview of combinatorial games and their fundamental concepts.

Study reveals key findings on mean-field games under various boundary conditions.

This work combines chess game data and language insights for better AI decision-making.

Examining strategies that influence cooperation among individuals in various scenarios.

Using game theory to optimize performance in quantum networks for better communication.

Examining how different decision-makers interact within various network structures for stability.

This article explores how players compete for limited resources in congestion games.

A look into how proposals affect coalitional negotiations and outcomes.

An overview of Mean Field Games and their impact on strategic decision-making.

Exploring the advantages of quantum discord in strategic games.

Analyzing strategies in the cops and robbers game on graphs.

This work reveals the benefits of decentralized communication in games with many agents.

Exploring the challenges and strategies in multi-agent learning systems.

Two players vie for resources in a grid-based strategy game.

Examining methods to find and reduce dishonesty in AI behavior.

Exploring imitation learning within mean-field games and its unique complexities.

A new approach enhances adversarial training for better model performance.

Omega improves strategies in stochastic games by using past data effectively.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Examining fair compensation mechanisms amidst challenges of MEV in decentralized systems.