Latest Articles for Agents

New methods improve understanding of artificial agents' behaviors through program synthesis.

Research shows artificial agents can comprehend and act on language tasks effectively.

A new architecture aimed at enhancing fairness in recommendation processes.

Research explores how agents understand their environment via interaction and action.

New data source enhances machine learning models in reasoning tasks.

Studying how multiple robots can move in formation for efficiency.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

This article discusses self-healing distributed optimization for effective network resilience.

This article discusses using natural language to aid computer learning in complex tasks.

New framework SurrealDriver improves driver agent simulation for urban environments.

Research on a manager agent for effective task delegation among humans and AI.

A new approach to secure data sharing while ensuring privacy and compliance.

SpeechAgents enhances AI communication with speech and signals for more realistic interactions.

Transformers enhance path planning and cognitive mapping in complex environments.

A new approach to human-centric smart factories through the SemIoE ontology.

Examining how outside factors shape opinions in groups where majority and contrarian views clash.

Learn how controllability backbone aids in managing networked agents effectively.

ModaVerse simplifies how we transform and interpret various types of data.

A new approach simplifies the creation of robotic swarms for various tasks.

Learn how agents explore networks without colliding in limited visibility.

Study reveals how varied training improves RL agent adaptability in changing environments.

Research explores a method to form complex shapes with simple tiles.

Discover how agents can improve foundation models for better AI outcomes.

This paper discusses the role of LLMs in time series analysis.

Explore how offline reinforcement learning improves decision-making through analysis of past experiences.

This study investigates how biases in LLMs affect human interaction simulations.

A new method enhances search engines by using images for query suggestions.

This article discusses enhancing agent learning in networked environments through a new model.

A new framework enhances learning despite missing feedback.

A new approach to cloud negotiations improves resource allocation and reduces costs.

Strategies to efficiently reassign agents to high-priority jobs.

This article examines the threat of backdoor attacks on language model agents.

Study shows AI agents can polarize in echo chamber-like settings.

This study examines contracts between principals and learning agents through repeated interactions.

Investigating contracts and Agent performance in repeated hiring situations.

A look at how inspections enhance contract performance and agent motivation.

A new model to analyze how biases affect opinions in social networks.

New dataset enhances computer agents' ability to perform various tasks.

Research shows general regularization methods boost off-policy RL agent performance across tasks.

Study examines communication and teaching in agent systems under different governing models.