{"type":"ScholarlyArticle","title":"On Teaching Collaboration to a Team of Autonomous Agents via Imitation","authors":[{"name":"Saleha Raza","slug":"saleha-raza","given":"Saleha","family":"Raza","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2013/505","pdf":"https://ijcai.org/proceedings/2013/0505.pdf","markdown":"https://ijcai.org/proceedings/2013/505.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/505","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":505,"pages":{"first":3237,"last":3237},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}