Latest Articles for Decision Making

Examining how AI influences human judges in bail decisions.

A fresh method for creating action models from complete data.

A new approach for players in continuous-state partially-observable games using real-time strategies.

Exploring how oracle models can improve decision-making under uncertainty.

A study on non-stationary dueling bandits and their learning dynamics.

Study reveals impact of stakes on biases in decision-making.

A new AI tool simplifies decision-making by transforming business problems into optimization models.

Exploring how AI influences subjective choices and trust in explanations.

Introducing FastDCFlow for quicker, diverse counterfactual explanations in machine learning.

New framework GEASD enhances exploration in sparse reward settings.

New algorithms improve decision-making in constrained environments.

Discover the new features of SCIP 9.0 for efficient optimization.

PIPER enhances reinforcement learning using preference-based feedback to tackle sparse rewards.

Learn how to maximize outcomes in uncertain situations with budget constraints.

A new approach to rank preferences by emphasizing top choices.

This article explores multi-objective optimization and the MOEA/D approach.

Machine learning tackles decision-making with limited information using innovative methods.

Exploring strategies for optimizing energy levels and rewards in Markov Decision Processes.

A look into the role of knowledge and belief in decision-making.

Exploring mechanisms to improve fairness and reduce manipulation in decision-making scores.

This study focuses on how robots can plan despite making mistakes.

Discover how Recursive Backwards Q-Learning improves decision-making in AI.

CFEs guide individuals on actions to improve unfavorable outcomes.

A new method to enhance resource distribution across various sectors using statistics.

Adaptive radar technology enhances security against adversaries while maintaining performance.

A look into how people make choices under uncertainty.

A look into AAqvist's logics and small model constructions.

A guide to decision-making using past data and understanding risks.

Examining coordination, networks, and decision-making among agents in different settings.

Examines how player desirability impacts coalition outcomes in cooperative games.

Addressing the issues of SHAP scores for better model explanation.

A new framework to assess predictive model performance amidst uncertainties.

A new algorithm enhances decision-making in complex environments.

Examining the role of representation in PPO and its impact on agent performance.

A look at planning frameworks that balance safety and effectiveness in complex environments.

This study examines how machine learning affects decision-making and individual behavior.

A new model examines how uncertainty shapes decision-making behavior.

An overview of decision-making in combinatorial bandit problems.

A flexible approach to evaluate policies with limited data and logging policy uncertainty.

Introducing Q-value Shaping to improve cooperation among autonomous agents.