Week 3: Identifying Strategy Games

This week, our team is working on identifying strategy games to have our machine learning model play. A few of our candidates are turn-based strategy board games like Risk, Stratego, or even 4-player chess (pictured). There are several factors to consider, such as how we might be able to simulate the game, how many moves are possible in the game, and whether players must use collaboration to win.

Four-handed chess, by Marcin Jahr, in public domain, from Wikimedia Commons.
Representation of Risk board game, by cmglee, Gr0gmint, CC BY-SA 4.0, from Wikimedia Commons.

Additionally, we are narrowing down the features that our product will need. We need to make sure we can evaluate the model at each stage and determine if the model is improving its strategies. We also need it to be “human interactive,” i.e., it should be possible for a human to play against the model and recognize the strategies that it employs.

Our team has a new name! Tactica! Our current logo, still a work in progress:

Tactica, team logo.

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