Submitted by Evidently_21 t3_ye2sll in dataisbeautiful
moonkingdome t1_itvrb41 wrote
I dont see much difference.
Tordoix t1_itvxqp1 wrote
There is not much but the small difference is interesting, it seems that humans slightly prefer to stay in the middle rather than using the border files, which makes sense since the middle pieces have a lot more potential of movement. The computer probably uses these border places better since it is planning the benefit of a move further into the future more often rather than the human tactic of developing to control most of the board.
XPlutonium t1_itvxl1i wrote
It’s probably because game engines were once trained on past games and also that now players have started using computers to improve their game
So I’m not saying in the long run the difference will be 0. But it stands to reason that this is partly why they’re close
[deleted] t1_itvy49l wrote
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XPlutonium t1_itvyhd9 wrote
That’s a very fair point Reinforcement Learning and similar may independently come to similar solutions
I would be interesting in seeing what happens to algorithms trained on just RL mapped to this chart
[deleted] t1_itvyz77 wrote
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moonkingdome t1_itw1eqd wrote
Nice responce.. Very usefull
Vilko3259 t1_itwenmo wrote
Wouldn't expect there to be much of a difference. Computers really outpace humans when it comes to tactical calculations which wouldn't really show up on this.
The only important thing I got was that humans stick to the "control the center" principle a little too strongly
DooDooSlinger t1_itwwnn9 wrote
Look harder
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