A Unified Framework based on HTN and POP for Approaches for Multi-Agent Planning
type: Dataset
description: International audience
issued: 2026-05-05T13:46:02.095404
language: en
modified: 2026-05-05T13:46:02.095409
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-aicomputer-science-csartificial-intelligence-csai
landing page: International Conference on Intelligence Agent Technology

A Unified Framework based on HTN and POP for Approaches for Multi-Agent Planning
type: Distribution
format: HTML
issued: 2026-05-05T13:46:02.097894
modified: 2026-05-05T13:46:02.090365
access URL: https://inria.hal.science/hal-00981704

test_moissonnage_selune
type: Agent