ML Anthology

Multiagent Hierarchical Learning from Demonstration

Keith Sullivan
IJCAI 2011 pp. 2852-2853
doi:10.5591/978-1-57735-516-8/IJCAI11-498 /ijcai/2011/sullivan2011ijcai-multiagent/

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.

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Text

Sullivan. "Multiagent Hierarchical Learning from Demonstration." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-498

Markdown

[Sullivan. "Multiagent Hierarchical Learning from Demonstration." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/sullivan2011ijcai-multiagent/) doi:10.5591/978-1-57735-516-8/IJCAI11-498

BibTeX

@inproceedings{sullivan2011ijcai-multiagent,
  title     = {{Multiagent Hierarchical Learning from Demonstration}},
  author    = {Sullivan, Keith},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {2852-2853},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-498},
  url       = {https://mlanthology.org/ijcai/2011/sullivan2011ijcai-multiagent/}
}