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java.lang.Objectcom.anji.gomoku.GomokuScanningNeuralNetPlayer
Gomoku subject whose moves are determined by a neural net. Neural net input is a 5x5 board grid plus bias clamped at 1. Output is 5x5 grid. Net is activated with all 5x5 grids on bard, and highest output of all activations corrsponding to a legal move is taken as the next move.
Constructor Summary | |
GomokuScanningNeuralNetPlayer(Activator anActivator)
Construct subject from neural net. |
Method Summary | |
java.lang.String |
getPlayerId()
|
int |
move(int[] boardState)
Feed board and bias to neural net, 1 5x5 grid at a time, get output, and translate it to a move. |
void |
reset()
reset player state; after a call to reset, the player should be in the same state as it was when created; i.e., it has no memory of previous games played |
java.lang.String |
toString()
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Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
public GomokuScanningNeuralNetPlayer(Activator anActivator)
anActivator
- Method Detail |
public java.lang.String getPlayerId()
getPlayerId
in interface Player
Player.getPlayerId()
public int move(int[] boardState)
move
in interface BoardPlayer
boardState
-
BoardPlayer.move(int[])
public void reset()
Player
reset
in interface Player
Player.reset()
public java.lang.String toString()
Object.toString()
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