Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration)
Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe · Adaptive Agents and Multi-Agents Systems · 2015
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.