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Now with #2, the chaser locations will be entirely database-driven. This means that we could save positions from past runs of a case to be replayed during a current simulation as non-player characters. It could also open up the door in the future for "AI" chasers that chase is some programmatic fashion (or even use some actual machine learning to try training them to have an optimal chase strategy...but's that's a research project for a couple years' time 😉)
The text was updated successfully, but these errors were encountered:
Now with #2, the chaser locations will be entirely database-driven. This means that we could save positions from past runs of a case to be replayed during a current simulation as non-player characters. It could also open up the door in the future for "AI" chasers that chase is some programmatic fashion (or even use some actual machine learning to try training them to have an optimal chase strategy...but's that's a research project for a couple years' time 😉)
The text was updated successfully, but these errors were encountered: