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Every team deserves a second chance: identifying when things go wrong (Student Abstract)

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Every team deserves a second chance: identifying when things go wrong (Student Abstract). / Nagarajan, Vaishnavh; Soriano Marcolino, Leandro; Tambe, Milind.
Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015). 2015. p. 4184-4185.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Nagarajan, V, Soriano Marcolino, L & Tambe, M 2015, Every team deserves a second chance: identifying when things go wrong (Student Abstract). in Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015). pp. 4184-4185. <http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9811>

APA

Nagarajan, V., Soriano Marcolino, L., & Tambe, M. (2015). Every team deserves a second chance: identifying when things go wrong (Student Abstract). In Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015) (pp. 4184-4185) http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9811

Vancouver

Nagarajan V, Soriano Marcolino L, Tambe M. Every team deserves a second chance: identifying when things go wrong (Student Abstract). In Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015). 2015. p. 4184-4185

Author

Nagarajan, Vaishnavh ; Soriano Marcolino, Leandro ; Tambe, Milind. / Every team deserves a second chance : identifying when things go wrong (Student Abstract). Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015). 2015. pp. 4184-4185

Bibtex

@inproceedings{0c800fb55e744773ba5e6ecde4ac5948,
title = "Every team deserves a second chance: identifying when things go wrong (Student Abstract)",
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.",
keywords = "Multi-agent systems, Teamwork, Multi-agent Learning",
author = "Vaishnavh Nagarajan and {Soriano Marcolino}, Leandro and Milind Tambe",
year = "2015",
language = "English",
pages = "4184--4185",
booktitle = "Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015)",

}

RIS

TY - GEN

T1 - Every team deserves a second chance

T2 - identifying when things go wrong (Student Abstract)

AU - Nagarajan, Vaishnavh

AU - Soriano Marcolino, Leandro

AU - Tambe, Milind

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Multi-agent systems

KW - Teamwork

KW - Multi-agent Learning

M3 - Conference contribution/Paper

SP - 4184

EP - 4185

BT - Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015)

ER -