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The ML-based AI (or "agent" as the authors referred to it) in the article never achieved perfect aiming, only up to 80% at close range and 0.5% at long range. A
by HanayamaTriplet 7y ago
The ML-based AI (or "agent" as the authors referred to it) in the article never achieved perfect aiming, only up to 80% at close range and 0.5% at long range. After artificially delaying reaction time, a team of one strong human plus one delayed agent was only able to win against a team of two delayed agents only 21% of the time. While this only controlled for reaction time and not accuracy, the authors note that the human and delayed agents had similar numbers of hits per game. Meanwhile, the agents had 4-5x more flag captures than humans, leading them to believe that it had developed superior strategy which carried the games even without god-like aim.
- de_watcher 7y ago> it had developed superior strategy The problem is that when it starts to play against humans the humans develop an anti-strategy after just a several matches. Feeding that back into AI doesn't immediately give enough data points for training.