Latest Articles for Decision Making

A guide to understanding SLTL and its applications in decision-making.

A study on managing systems with sudden changes and limited observations.

Learn how minimax estimation helps in managing uncertainty in data analysis.

Discover how Neuro-Symbolic AI is transforming decision-making in military settings.

A new approach combines Decision Trees with neural networks for improved efficiency and accuracy.

Using neural networks to enhance decision-making in preference-based contexts.

An overview of constrained optimization and its complexities.

A new method enhances skill estimation for decision-making and execution.

Learn how businesses can optimize inventory management and improve profits.

A guide to optimizing decisions under uncertainty using sample-based methods.

Examining how adding players affects decision-making dynamics in voting scenarios.

An analysis of decision-making challenges in a decentralized control system.

A look into conditional independence and its role in statistical modeling.

A new method for agents to choose options efficiently and maximize rewards.

This article examines communication and feedback in decision-making scenarios.

Exploring how groups maintain beliefs amid differing opinions.

A novel approach to generate policies that cater to different preferences.

Examining how players adapt strategies with different amounts of information.

A new approach improves decision-making in reinforcement learning by focusing on objects.

This study examines improving committee elections using ranked preferences and minimal distance information.

Explore the debate on probability with Sleeping Beauty's unique coin toss experience.

A practical guide to selecting reinforcement learning algorithms based on your needs.

Learn how decision theory and logic improve choices in uncertain situations.

Learn how different types of information guide our choices over time.

A new approach to optimize choices under fluctuating rewards.

A new method helps robots improve decision-making in complex environments.

This work focuses on explaining decision-making in AI using Monte Carlo Tree Search.

A platform designed for better understanding of AI decisions through tailored explanations.

Exploring new methods for fair decision-making in machine learning systems.

This study examines how the premotor cortex aids in decision-making through transitive inference.

Examining the challenges in hypothesis testing for different statistical distributions.

A new method for confidently identifying optimal choices from noisy data.

Exploring how inaccurate models affect economic choices over time.

A look at reliable probability assessment in machine learning systems.

A new method tests how AI interprets misleading charts.

Learn how continuous analysis impacts A/B testing results and decision-making.

A fresh approach improves error modeling, enhancing decision-making in complex environments.

Examining no regret strategies in two-player Stackelberg games for improved decision-making.

Explore how vacuous reduct semantics improve argument evaluation by filtering conflicts.

A look at fairness in hiring, lending, and law enforcement.