TY  - JOUR
TI  - Using Transfer Learning in an Ad Hoc Team
AU  - Sannidhya Sandheer
AU  -  Tanya Sangtiani
AU  -  Aditya Singh
AU  -  Niharika Varshney
AU  -  Piyush Soni
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2019/04/30
PY  - 2019
DO  - https://doi.org/10.32628/CSEIT1952259
UR  - https://ijsrcseit.com/CSEIT1952259
VL  - 5
IS  - 2
SP  - 925	
EP  - 928
AB  - 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.