Latest Articles for Agents

Learn how agents influence each other in work settings through motivation and contracts.

A new method for estimating energy barriers in transitions between stable states.

Investigating how representational alignment affects language development in artificial agents.

A method to help agents navigate complex environments more efficiently.

A powerful simulator designed to enhance self-driving car training through rapid scenario generation.

ReDel helps AI agents work together on complex tasks efficiently.

Researchers push for more realistic environments to enhance machine learning.

A new system uses language models to create engaging data videos automatically.

A tool that makes building agent workflows easy and accessible for everyone.

Developing agents that engage in real-time dialogue for better navigation.

Examining how predictions affect collective behavior and social well-being.

A new method aims to enhance patient safety in surgeries by modeling procedural actions.

This article presents a method for effective learning through single goal exploration.

This article discusses using reinforcement learning to manage noise in quantum computing.

A model highlighting Zipf's law in agent interactions across various systems.

A new approach enhances agent learning with flexible reward systems.

AgentSimulator enhances simulation by focusing on resource behaviors and interactions.

ARL combines group learning methods to improve decision-making in complex tasks.

Learn how deep reinforcement learning combines decision-making and neural networks.

A look into how our brains create models for understanding the world.

A look at a new framework for improving drone communication and teamwork.

Understanding multi-objective problems in reinforcement learning with new optimization methods.

A new method enhances warehouse operations by combining task assignment and path finding.

Research unveils advanced settings for observing language growth among artificial agents.

A new tool enhances testing of reinforcement learning agents against faults.

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

A new simulator evolves agents capable of culture and reasoning.

Learn how MoA enhances information quality and efficiency in financial analysis.

KnoWoGen offers a novel system for creating datasets in knowledge work, addressing key limitations.

New strategies for agent collaboration enhance trust and efficiency in AI responses.

Learn how agents collaborate for effective energy management using distributed optimization.

Research shows how diverse opinions can stabilize over time in social networks.

A new method improves traffic scenario generation using natural language inputs.

A look into how knowledge and unawareness shape decision-making in economics.

A method to assess AI agents' evaluations for safety and reliability.

A novel method using neural networks to compute eigenvalues in large matrices.

AI learns decision-making skills using a human-like approach in video games.

Agents can coordinate effectively using localized information.

Research develops systems that adapt to various question types for better responses.

A new model improves motion prediction for self-driving cars with minimal resources.