Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)

Vaishnavh Nagarajan; Leandro Soriano Marcolino; Milind Tambe

doi:10.1609/aaai.v29i1.9737

Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)

Authors

Vaishnavh Nagarajan Indian Institute of Technology Madras
Leandro Soriano Marcolino University of Southern California
Milind Tambe University of Southern California

DOI:

https://doi.org/10.1609/aaai.v29i1.9737

Keywords:

Multi-agent systems, Teamwork, Multi-agent Learning

Abstract

We show that without using any domain knowledge, we can predict the final performance of a team of voting agents, at any step towards solving a complex problem.

Downloads

Published

2015-03-04

How to Cite

Nagarajan, V., Soriano Marcolino, L., & Tambe, M. (2015). Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9737