3 ms·
It reminds me of the Go AIs going on tilt when they're far behind. When the win percentage for Go AIs gets to around 5%, every action it can take results in a
by tux3 8y ago
It reminds me of the Go AIs going on tilt when they're far behind.
When the win percentage for Go AIs gets to around 5%, every action it can take results in a losing game so it can't make the difference between normal play and super strange moves anymore.
When every choice is really bad, humans tend to still go with their normal strategy and wait for their chance to turn things around, but bots assume the opponent is playing perfectly, so they act like their winrate is going to stay near zero no matter what they do.
- deleted 8y ago[deleted]
- nopinsight 8y agoIf this is true (which it might be, I haven’t studied these systems in detail), then an obvious fix is to get the AI to randomly train with ‘weaker’ versions of itself (perhaps while the strong instance is handicapped) in addition to the latest generation. Several levels of weak opponents should be used, with varying probabilities, to tune the AI’s robustness against real-world, imperfect competitors.