Latest Articles for Decision Making

A new method enhances how robots interpret user instructions safely.

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

NLRL combines reinforcement learning with natural language for improved decision-making.

Exploring how judges' disagreements can improve AI predictions in legal outcomes.

CEQR-DQN enhances decision-making by effectively managing uncertainties in AI.

Learn how piecewise linear functions can simplify decision-making under uncertainty.

AI agents use simulations to enhance cooperation in competitive scenarios.

Combining Bayesian statistics and decision theory to improve decision-making with uncertain data.

A new method enhances cooperation in multi-agent environments for better decision-making.

Examining strategic behavior and manipulation in voting processes.

Causal modeling helps clarify cause and effect relationships in various fields.

This work refines counterfactual inference for improved decision-making in healthcare.

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

How zealots shape decision-making dynamics in groups.

This approach helps users create effective data visualizations.

A method to optimize tasks with uncertainty using fuzzy relational equations.

Exploration is essential for agents to learn and improve decision-making.

This project aims to create AI agents that excel in decision-making within the Battlespace game.

Examining how costs affect persuasion through experiments in industries like pharmaceuticals and startups.

Fast decisions in animals reveal surprising cognitive abilities and adaptability.

BICauseTree offers transparent methods for estimating causal effects in various fields.

This article explores the impact of incomplete voting on decision-making processes.

Understanding causality can improve AI's decision-making and adaptability.

A look at the need for fairness and clear explanations in AI systems.

Exploring the benefits of using programming in reinforcement learning.

Study of how agents reach agreement with limited communication.

Study shows AI affects fairness, trust, and cooperation in social interactions.

An overview of auction design considering bidders' interdependent valuations.

Examining worst-case scenarios in simplex algorithm and policy iteration.

PCA-Bench tests large language models in complex decision-making scenarios.

Discussing the role of values in scientists' ethical decision-making.

A new method enhances personalized decision-making in machine learning systems.

Learn methods for fair sharing of items and chores in everyday life.

A look at how active inference guides decision-making under uncertainty.

This study examines how animals make decisions based on rewards and risks.

Explore the synergy of fuzzy and modal logic for decision-making in uncertain situations.

Explore how choice complexity impacts decision making and leads to errors.

A new method enhances agent performance in complex environments without extra training.

A study on identifying and reducing cognitive bias in large language models.

A new approach trains AI agents to make justifiable decisions through structured debates.