Latest Articles for Decision Making

Integrating risk considerations into reinforcement learning enhances decision-making safety.

Using liquid democracy concepts can enhance ensemble learning efficiency and accuracy.

Using fuzzy constraints enhances decision-making in uncertain optimization problems.

This study offers solutions for distributing items based on shared preferences.

A look into safe reinforcement learning techniques and their real-world applications.

Anticipating future events shapes decisions in daily life and technology.

Strategies to enhance decision-making in cooperative environments with incomplete information.

This article examines how agents control information access while managing costs in mean-field games.

Explore how aging affects metacognition and decision-making abilities.

A guide to making informed decisions during disease outbreaks using optimization techniques.

A new method for safely controlling unpredictable systems.

Exploring methods for fair ranking in various applications.

A look into methods for measuring preference diversity in voting frameworks.

PAC algorithm improves exploration-exploitation balance in reinforcement learning.

SIDU-TXT sheds light on AI decisions in natural language processing.

A new method enhances coordination without complete visibility in team settings.

A new algorithm improves multiobjective optimization with efficient and well-spread solutions.

A look into how group-level analysis improves understanding of machine learning decisions.

Explore sequential equilibria and their role in games with uncertainty.

A new method improves decision-making under uncertainty using probability measures.

Explore how offline reinforcement learning improves decision-making through analysis of past experiences.

This article discusses control strategies in leader-follower games with private information.

Study reveals how LLMs adapt learning based on feedback during tasks.

A new approach to reinforcement learning addresses delayed rewards using bagged feedback.

Discover how Actions World Models improve decision-making in complex environments.

A look into infinite-state MDPs and their role in reinforcement learning.

Combining causal knowledge with reinforcement learning improves AI decision-making.

A look into various forms and implications of ignorance in knowledge theory.

Online stochastic optimization helps navigate uncertainty in decision-making.

LPT enhances machine decision-making by emphasizing planning over immediate rewards.

A look into how we assess the quality of forecasts.

This article explores the integration of reinforcement learning with stochastic optimal control for safer decision-making.

Explore how risk attitudes shape our choices in uncertain situations.

Learn how to manage unknown systems effectively with agnostic control strategies.

Learn strategies for controlling systems despite unknown variables.

A new framework enhances learning despite missing feedback.

Examining how prior experiences shape our views and decision-making confidence.

A guide to understanding predictive models and their applications in learning.

A new method enhances how robots interpret user instructions safely.

Learn how IPRO efficiently balances multiple objectives in decision-making.