Virtual Dungeon Mayhem

This is a student project created for the purpose of collecting data on different strategies of gameplay and incorporating it into an AI agent. The more games you play, the better our data is! Here's how you can help:

  1. Go to the 'Play Game' section of the navbar (or click here)
  2. Play the game at least 4 times (once as each different deck)
  3. After you have played enough games, take the "Big 5 Quiz" (here)
  4. [Only take the "Big 5 Quiz" once! Even if you play more games afterward, it skews our data if the same person retakes the quiz!]
  5. Feel free to continue playing more games! Or, consider buying the real product!

Learn more about each deck:

Sultha (Barbarian)

Sultha the Skullcrusher (Barbarian)
Azzan (Wizard)

Azzan the Mystic (Wizard)
Lia (Paladin)

Lia the Radiant (Paladin)
Oriax (Rogue)

Oriax the Clever (Rogue)

Who are we?

We are Courtney C. Caldwell and Nicholas T. Wackowski, working with Dr. Johnathan Mwaura, to develop a deep-reinforcement learning agent which is able to play the card game "Dungeon Mayhem." We hope to collect strategies and user data about how different players make optimal decisions so that we can base our algorithm to learn accordingly, similar to how a human being thinks and learns.