@Test public void when_callingCreatePolicyLabels_expect_ZeroINDArrayWithCorrectShape() { INDArray result = sut.createPolicyLabels(4); assertArrayEquals(new long[] { 1, 3, 4 }, result.shape()); for(int j = 0; j < 3; ++j) { for(int i = 0; i < 4; ++i) { assertEquals(0.0, result.getDouble(0, j, i), 0.00001); } } }
@Override public INDArray createPolicyLabels(int trainingBatchSize) { return Nd4j.zeros(1, actionSpaceSize, trainingBatchSize); }
RecurrentActorCriticHelper extends ActorCriticHelper { @Override public INDArray createPolicyLabels(int trainingBatchSize) { return Nd4j.zeros(1, actionSpaceSize, trainingBatchSize); } }
RecurrentActorCriticHelper extends ActorCriticHelper { @Override public INDArray createPolicyLabels(int trainingBatchSize) { return Nd4j.zeros(1, actionSpaceSize, trainingBatchSize); } RecurrentActorCriticHelper(int actionSpaceSize); }
RecurrentActorCriticHelper extends ActorCriticHelper { @Override public INDArray createPolicyLabels(int trainingBatchSize) { return Nd4j.zeros(1, actionSpaceSize, trainingBatchSize); } RecurrentActorCriticHelper(int actionSpaceSize); @Override INDArray createValueLabels(int trainingBatchSize); @Override INDArray createPolicyLabels(int trainingBatchSize); @Override void setPolicy(INDArray policy, long idx, int action, double advantage); }
RecurrentActorCriticHelper extends ActorCriticHelper { @Override public INDArray createPolicyLabels(int trainingBatchSize) { return Nd4j.zeros(1, actionSpaceSize, trainingBatchSize); } RecurrentActorCriticHelper(int actionSpaceSize); @Override INDArray createValueLabels(int trainingBatchSize); @Override INDArray createPolicyLabels(int trainingBatchSize); @Override void setPolicy(INDArray policy, long idx, int action, double advantage);  }