Latest Articles for Decision Making

Examining the impact of the independence assumption on machine reasoning and uncertainty.

Examining how memory impacts decision-making in incomplete information games.

Exploring effective strategies for managing large groups of interacting agents.

Strategies for optimizing systems by minimizing regret in uncertain environments.

Learn how POMDPs aid decision-making in uncertain environments.

A look at decision-making between new options and familiar routines.

Exploring how we assess the value of different life outcomes.

Exploring counterfactual harm constraints for safer decision-making in AI.

Introducing a technique for better predictions and confidence intervals in decision-making.

Agents make choices in a multi-agent setting using predictions for better outcomes.

A new method enhances search efficiency for multi-objective optimization challenges.

Learn how to adjust beliefs based on new evidence in decision-making.

A framework that enhances reinforcement learning by incorporating essential constraints.

This article examines the role of the Pettis integral in economic models.

Exploring nondeterministic causal models for better analysis of complex relationships.

Learn how to make better predictions and decisions by minimizing swap regret.

Examining average sensitivity for better decision-making in resource allocation.

This study examines player behavior in blindfolded games using Thompson sampling.

Explore methods for improving decision-making under uncertainty using adaptive robust optimization.

Exploring a framework for understanding knowledge among multiple agents in modal logic.

Examining how creativity can be assessed in artificial intelligence systems.

New tree structures improve decision-making visibility in AI systems.

RSD offers a fair way to assign resources based on preferences.

This article discusses how transformers can improve decision-making tasks in various areas.

A look at decision-making under uncertainty and how to make optimal choices.

This study examines the benefits of pausing updates in reinforcement learning systems.

A method to improve model choice as data updates.

Learn how combining different models improves decision-making processes in complex scenarios.

A method for improving multi-task decision-making and robustness.

This study analyzes how past choices reveal decision-makers' social welfare functions.

This study examines how bias affects belief changes in various fields.

A new algorithm enhances prediction sets for better expert decision-making.

Learn how Bayesian predictive decision synthesis enhances portfolio management.

A method for finding strategies in MDPs without prior knowledge.

AHAC improves decision-making in robotics by adapting to environmental dynamics.

Study reveals how beliefs about others influence decision-making, especially under observation.

Examining how LLMs handle ethical dilemmas and their societal impact.

A new method enhances safety in reinforcement learning through risk management.

A clear look at why switching doors is the winning strategy.

An overview of stochastic games and their mean-payoff objectives.