---
title: "Multiagent Hierarchical Learning from Demonstration"
authors:
  - "Keith Sullivan"
doi: "10.5591/978-1-57735-516-8/IJCAI11-498"
url: "https://ijcai.org/proceedings/2011/498"
pdf: "https://ijcai.org/proceedings/2011/0498.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "2852-2852"
track: ""
keywords:
---

# Multiagent Hierarchical Learning from Demonstration

Keith Sullivan

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 2852-2852. DOI: [10.5591/978-1-57735-516-8/IJCAI11-498](https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-498)

## Abstract

I introduce a learning from demonstration system, called Hierarchical Training of Agent Behavior (HITAB). In HITAB, agents learn a hierarchical finite state automata (HFA) represented as a Moore machine where individual states correspond to agent behaviors or another HFA. HITAB allows rapid training of both single agent and multiagent behaviors.