Latest Articles for Game Theory

Investigating complex relationships in quantum physics through interactive Bell tests.

An in-depth look at bribing attacks threatening blockchain systems.

This study presents a method for allocating rewards in unknown environments.

This study compares evolution strategies and deep reinforcement learning in various tasks.

Examining LLMs' ability to mimic complex human behaviors in decision-making.

AI agents use simulations to enhance cooperation in competitive scenarios.

A simple comparison between LLMs and a two-player game reveals insights into their training.

This study examines finding Nash equilibria amid individual constraints in competitive scenarios.

Explore how Sam plans his travels using optimization and quantum computing concepts.

A look into mean-field control for managing group decision-making.

A new model enhances insights in normal-form games.

This article discusses mechanism design, bounded rationality, and incentive compatibility.

A new approach to predictions reduces swap regret for decision-making agents.

Understanding unlearnable example attacks through game theory for better data protection.

Explore how players adjust tactics using learning algorithms in competitive situations.

New framework enhances understanding of multiplayer game dynamics and strategies.

An overview of core stability in coalition formation games.

This study explores the role of actions, timing, and solvability in recognizing goals.

AgA offers a way to align personal and collective goals in mixed-motive cooperation.

A study on how dictionary learning helps interpret advanced language models.

A study of equilibria challenges in first-price auctions with discrete values.

A deep dive into lasso languages and their significance in computer science.

This study examines contracts between principals and learning agents through repeated interactions.

This study reveals a new chess AI model trained on millions of games.

An adaptive agent improves teamwork in Codenames using multiple language models.

An analysis of Shogi movements through mathematical patterns and geometric shapes.

Exploring decisions and measurements in bipartite networks and their impact on interactions.

An exploration of how hierarchies form in competitive environments.

A new learning algorithm for agents in constrained multi-player scenarios.

A look at quantum games and how losing strategies can lead to winning outcomes.

Tarski's theorem reveals key insights into monotone functions and their fixed points.

This paper investigates how MARL can enhance understanding of complex auctions.

Exploring queen placements on a chessboard to avoid three in a row.

New methods enhance decision-making for multiple agents in uncertain environments.

Examining the impact of data corruption on learning strategies in two-player zero-sum Markov games.

Study reveals how anti-coordinated patterns form in a reinforcement learning model of the snowdrift game.

A look into zero-sum games with state constraints and one-sided information.

Examining how strategic interactions impact machine learning model performance.

New methods improve strategies in extensive-form games for better outcomes.

This study combines Large Language Models with Monte-Carlo Tree Search for better game decision-making.