Glorious Alpha Two Testers!
Alpha Two testing is currently taking place five days each week. More information about Phase II and Phase III testing schedule can be found here
If you have Alpha Two, you can download the game launcher here, and we encourage you to join us on our Official Discord Server for the most up to date testing news.
Alpha Two testing is currently taking place five days each week. More information about Phase II and Phase III testing schedule can be found here
If you have Alpha Two, you can download the game launcher here, and we encourage you to join us on our Official Discord Server for the most up to date testing news.
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Machine Learning to test optimal Raid configurations/Boss behavior
Kybian
Member, Alpha One, Alpha Two, Early Alpha Two
After seeing the Dev Question related to NPC behavior, and listening to an interview with Jeffery Bard, I was curious if anyone knew what systems Ashes of Creation were implementing for their dungeon/raid boss behavior. Jeffery stated that based on the clear speed of a group, later sections and bosses would pull from a higher/lower moveset difficulty table to scale fights and keep them fresh. As an aspiring Machine Learning Engineer for MMO's, I'm curious in what way they go about handling those complexities. I also wonder if you can take those tables, and run AI against them, to predict the distribution or optimal makeup of the parties for each difficulty table. That way you could test all 64 subclasses without having to wait for beta launches. Thoughts?
1
Comments
Yeah, this I think.