Latest Articles for Task Management

Efficient methods for assigning chores to ensure fairness among individuals.

Discover how CBS-TA-PTC enhances task assignment and pathfinding.

Learn how to optimize task scheduling for cost efficiency in cloud environments.

Strategies for effective task distribution among computers in a network.

Understanding how machines manage tasks for humans through alignment and capabilities.

Analyzing methods to reduce delays in task scheduling for multiple servers.

Explore fair allocation of chores among agents with different responsibilities.

A method to maximize rewards in task processing while managing costs effectively.

A new AI method improves scheduling in uncertain task environments.

Study explores how language models work with humans and each other in task completion.

DaTAPlan improves how robots assist us in daily tasks through task anticipation.

New method improves task scheduling efficiency on machines.

MMInA evaluates how well agents perform tasks across multiple websites.

Efficient methods for assigning tasks to multiple robots in real-time environments.

Learn how agents can minimize negative interactions while completing tasks.

Efficient scheduling minimizes machine activity, reducing energy consumption.

A study on improving task allocation fairness for service providers and tasks.

This article presents an innovative approach to organizing messy homes.

This framework uses multiple agents and task graphs for efficient problem solving.

Introducing open grounded planning to improve real-world task execution.

New methods improve flexibility in AI planning through block-substitution approaches.

How Mixtures of Experts enhance performance in Deep Reinforcement Learning tasks.

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

This paper presents methods for equitably dividing chores among individuals.

A new framework enhances learning efficiency in reinforcement tasks.

Exploring how CSE task recommendations help software practitioners find suitable tasks.

Effective communication is key for robots to follow human instructions accurately.

Learn about speed-robust scheduling and its importance in task management.

A new approach to summarizing planning tasks enhances decision-making across daily activities.

Memory systems enhance robots' multitasking abilities and efficiency.

Discover how TaskGen improves task management for programs and agents.

Research shows effective task selection can boost performance in language models.

Multi-Task Grouping improves learning efficiency and performance across various AI applications.

ReDel helps AI agents work together on complex tasks efficiently.

New executor improves task scheduling in ROS 2 for robotic systems.

AutoVCL enhances continual learning strategies in AI to manage task complexities.

Learn how breaking tasks helps robots train efficiently.

This article discusses fair allocation methods for tasks and jobs using maximin shares.

A new approach combines task allocation with path planning for robots.

Cognitive Kernel is an open-source system that autonomously handles tasks and gathers information.