Package org.encog.ml.world

Examples of org.encog.ml.world.Action

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    }

    GridState gridResultState = (GridState) resultState;
    GridState gridPreviousState = (GridState) previousState;

    Action resultingAction = determineResultingAction(gridPreviousState,
        gridResultState);
    GridState desiredState = determineActionState(gridPreviousState,
        desiredAction);

    // are we trying to move nowhere
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    if( first ) {
      first = false;
      this.currentState.increaseVisited();
    }
   
    Action action = this.policy.determineNextAction(this);
    Set<SuccessorState> states = world.getProbability().determineSuccessorStates(currentState, action);
    double d = Math.random();
    double sum = 0;
    for(SuccessorState state: states) {
      sum+=state.getProbability();
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    }
   
    GridState gridResultState = (GridState)resultState;
    GridState gridPreviousState = (GridState)previousState;
       
    Action resultingAction =  determineResultingAction(gridPreviousState, gridResultState);
    GridState desiredState = determineActionState(gridPreviousState,desiredAction);
   
    // are we trying to move nowhere
    if( gridResultState==gridPreviousState ) {
      if( GridWorld.isStateBlocked(desiredState) )
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Related Classes of org.encog.ml.world.Action

  • org.encog.ml.world.basic.BasicAgent
  • org.encog.ml.world.grid.probability.GridDeterministicProbability
  • org.encog.ml.world.grid.probability.GridStochasticProbability
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