On Teaching Collaboration to a Team of Autonomous Agents via Imitation
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3237-3237.
Abstract
This research proposes the use of imitation based learning to build collaborative strategies for a team of agents. Imitation based learning involves learning from an expert by observing her demonstrating a task and then replicating it. This mechanism makes it extremely easy for a knowledge engineer to transfer knowledge to a software agent via human demonstrations. This research aims to apply imitation to learn not only the strategy of an individual agent but also the collaborative strategy of a team of agents to achieve a common goal. The effectiveness of the proposed methodology is being assessed in the domain of RoboCup Soccer Simulation 3D which is a promising platform to address many of the complex real-world problems and offers a truly dynamic, stochastic, and partially-observable environment.
@inproceedings{ijcai2013p505,
title = {On Teaching Collaboration to a Team of Autonomous Agents via Imitation},
author = {Raza, Saleha},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3237--3237},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/505},
}
TY - CPAPER TI - On Teaching Collaboration to a Team of Autonomous Agents via Imitation AU - Raza, Saleha T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3237 EP - 3237 UR - https://ijcai.org/proceedings/2013/505 ER -Copied
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