Accepted author manuscript, 921 KB, PDF document
Final published version
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Every team deserves a second chance
T2 - An Interactive 9x9 Go Experience (Demonstration)
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. This demo allows users to interact with our system, and observe its predictions, while playing 9x9 Go.
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. This demo allows users to interact with our system, and observe its predictions, while playing 9x9 Go.
M3 - Conference contribution/Paper
SN - 9781450334136
SP - 1909
EP - 1910
BT - AAMAS '15 Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
PB - International Foundation for Autonomous Agents and Multiagent Systems
ER -