Latest Articles for Decision Making

Examining how human feedback shapes decision-making reward systems.

A new algorithm enhances model selection in uncertain environments.

Exploring how entropy influences decision-making in uncertain financial situations.

This paper examines methods to enhance value estimation in reinforcement learning despite challenges.

A look into robust reinforcement learning techniques for reliable decision-making.

New insights challenge traditional views on risk aversion and decision-making.

A look at how MDPs and neural networks enhance decision-making in games.

A new framework enhances agent decision-making by focusing on timing.

Strategies for agents to collaborate effectively despite information limitations.

Investigating how individuals and animals value rewards through decision-making.

Examining the impact of AI decision-making on groups and systemic outcomes.

A novel approach enhances multi-objective decision-making for drones in dynamic environments.

ExpeL agent learns from experiences to enhance performance in various tasks.

A new method replaces randomness in decision-making with strategic games.

A new way to make decisions online effectively and affordably.

This article examines conditional obligations and their significance in ethical reasoning.

Examining methods to tackle inconsistencies in fuzzy relational systems.

VBMO offers a method for efficient path planning with multiple objectives.

Examining how AI can enhance fairness in refugee status determination.

Explore how feelings influence decision-making under uncertainty.

A new approach to algorithmic recourse that emphasizes risk awareness in decision-making.

Examining the roles of hippocampal regions in spatial awareness and decision-making.

This article discusses a method for better decision-making in uncertain situations.

New strategies enhance decision-making in offline reinforcement learning.

This article discusses resilience in LLM-generated automation systems.

A look at bilevel programming and its complexities in optimization problems.

A new algorithm improves efficiency in online learning and decision-making.

A model-free method for decision-making in uncertain environments using Bayesian techniques.

A new approach to generate diverse plans in complex situations using simulation data.

This study uses multivariate majorization to improve principal-agent relationships.

A method to improve language model use in business settings.

A look into how our brains predict and act in the world.

This study examines how to improve treatment decisions using kernel regression methods.

A look at soft set theory and its role in handling uncertainty.

A novel model improves ranking through paired comparisons in various fields.

New algorithms enhance decision-making under uncertainty with structured feedback.

Training enhances the effective use of AI in decision-making across various sectors.

Examining how cooperation emerges from individual behaviors in groups.

A look at how counterfactuals clarify AI decision-making.

Discover how agents use best-effort strategies in uncertain environments.