Latest Articles for Agents

This study examines how curiosity impacts exploration efficiency in artificial agents.

Evaluating LLMs' strategic reasoning capabilities using diverse games.

A study on using reinforcement learning and safety measures for spacecraft inspections.

A fresh approach to make digital assistants smarter through ongoing learning.

This study focuses on refining models to simulate neuronal growth using Bayesian methods.

A new framework enhances how LLM agents learn through detailed process guidance.

Exploring quantum computing's role in improving multi-agent learning efficiency.

A clear framework to assess understanding in AI systems.

Using machine learning to improve laser light coupling into optical fibers.

Addressing power distribution for robust cooperative systems.

Barter exchanges enable trading goods without money in today's online world.

Explore how to encourage transparency in contracts with multiple agents.

Examining how individuals choose technologies based on social influence and interactions.

Examining how hyper-parameters shape the effectiveness of deep RL agents.

Study reveals methods for efficient target search by mobile agents in circular areas.

World models improve AI training by simulating environments for faster learning.

Discover how multi-agent systems enhance task automation and problem-solving.

Introducing GRASP, a benchmark for assessing spatial reasoning in language models.

This article examines how emotions influence our thinking and behavior through a dimensional model.

This study explores how representation learning helps robots adapt in changing environments.

Study reveals impact of environment on navigation strategies in artificial agents and humans.

Craftium enables researchers to create tailored 3D environments for training AI agents.

RPO improves decision-making speed and safety in reinforcement learning through reflective learning.

A method to maximize value in agent-item matching by analyzing preferences.

Study reveals methods for stable assignments in agent placement scenarios.

A framework for improving carbon dioxide injection strategies in underground storage.

Exploring how machines can follow human directions in real-world spaces.

A new method helps robots find fallen objects using sound.

A study on effective matching strategies considering preferences and constraints.

Research on group interactions in language learning using advanced neural agents.

Introducing Random Latent Exploration: a novel approach to improve agent exploration.

Discover how TaskGen improves task management for programs and agents.

This article explores how robots reach consensus under fuel constraints.

A new framework improves agent-based modeling by integrating diverse expert insights.

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.