Open AccessUsing Transfer Learning in an Ad Hoc Team
Author(s) -
Sannidhya Sandheer,
Tanya Sangtiani,
Aditya Singh,
Niharika Varshney,
Piyush Kumar Soni
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952259
Subject(s) - teamwork , computer science , transfer of learning , domain (mathematical analysis) , key (lock) , post hoc , field (mathematics) , robot , transfer (computing) , point (geometry) , human–computer interaction , knowledge management , artificial intelligence , computer security , mathematics , management , medicine , dentistry , mathematical analysis , geometry , parallel computing , pure mathematics , economics
In a practical scenario, we have a myriad of robotic systems; single and multi agent, not operating under any standard communication protocols. This is eminent from a point of view where independent robots can come together to achieve goals as a team. This problem is well defined in the domain of Ad Hoc Teamwork(AHT) which strives for a MAS wherein agents are heterogeneous, independent in their own respect and, as a whole accomplish goals that may be above any individual's capability. A key aspect is transfer learning which allows on the fly addition of team members. This paper shares development in transfer learning in the field of Ad Hoc Teamwork.