AAAI Publications, Twenty-Second International Joint Conference on Artificial Intelligence

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Multiagent Hierarchical Learning from Demonstration
Keith Sullivan

Last modified: 2011-06-29

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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