Latest Articles for Agents

Research shows how AI can promote cooperation through understanding environments and social dynamics.

A user-friendly tool for studying brain regions involved in navigation.

Research shows attention improves communication clarity in artificial agents.

A new method for scaling serverless functions efficiently in edge networks.

People choose whom to imitate based on perceived goals and strategies.

This research examines how compositionality affects imitation in artificial language systems.

Study reveals how movement influences information and disease spread in social networks.

A fresh approach to understanding decentralized decision-making in linear systems.

This study looks at how language models understand agentivity in sentence structures.

A clear framework for understanding agent cooperation and strategic interactions.

AMRL improves agent decision-making by integrating diverse types of knowledge.

Discover how deep reinforcement learning helps UAVs manage communication interference.

A look into BNRA and the coverability problem for agent coordination.

A new method enhances market simulation accuracy by calibrating agent behaviors.

A team of drones coordinates to track and jam malicious UAVs effectively.

Examining how algorithms can adapt to strategic behavior in lending and hiring.

A new method clarifies how state features affect agent performance in reinforcement learning.

This study explores navigation strategies in a simulated Morris Water Maze environment.

A new method for agent cooperation using edge agreements to achieve shared goals.

A new method enhances safety in multi-agent environments.

Ransomware evolves with AI, making detection increasingly difficult for cybersecurity systems.

Examining how team setups affect learning outcomes in multiagent systems.

Introducing a model to improve how systems represent and interact with processes and procedures.

This article discusses how interpretability in AI influences moral choices.

A new method enhances multi-agent communication for better cooperation.

Teaching machines to predict beliefs of others boosts teamwork and performance.

Learn how batch learning can enhance pricing decisions in businesses.

Examining how humans and robots collaborate in operating articulated machines for timber harvesting.

Enhancing teamwork between humans and robots for effective task execution.

This article explores the concept of knowing how versus knowing that.

Awareness models explain how individuals perceive knowledge and beliefs.

A study of time-sensitive interactions in negotiations among agents.

Meta-Value Learning enhances cooperation among agents in competitive and collaborative environments.

New methods for estimating costs in agent decision-making.

Learn how to design effective contracts when one party has more information.

Temperature affects how agents adapt and cooperate in controlling micro-robots.

OMIGA enhances offline multi-agent learning by integrating global and local learning strategies.

A study on effective matching for maximizing project value in organizations.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

Learn how counterfactual explanations enhance decision-making in reinforcement learning agents.