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Multiagent Hierarchical Learning from Demonstration

2019-11-12 | |  67 |   39 |   0

Abstract

Programming agent behaviors is a tedious task. Typically,behaviors are developed by repeated code, test, debug cycles.The difficulty increases in a multiagent setting due to the in-creased size of the design space. Density of interactions, the number of agents and the agent’s heterogeneity (both capabil-ities and behaviors) all contribute to the larger design space.This makes training the agents rather than programming them highly attractive.


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