Multiagent Hierarchical Learning from Demonstration

Sullivan, Keith

doi:10.5591/978-1-57735-516-8/IJCAI11-498

Multiagent Hierarchical Learning from Demonstration

Keith Sullivan

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2852-2852.

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.

Keith Sullivan. 2011. Multiagent Hierarchical Learning from Demonstration. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2852–2852. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-498

@inproceedings{ijcai2011p498,
  title     = {Multiagent Hierarchical Learning from Demonstration},
  author    = {Sullivan, Keith},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2852--2852},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-498},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-498},
}

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TI  - Multiagent Hierarchical Learning from Demonstration
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T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2852
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DO  - 10.5591/978-1-57735-516-8/IJCAI11-498
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