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2019-06-06 15:21:15 +03:00
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.rl4j.space;
import lombok.Value;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
/**
* @param <O> the type of Observation
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
* <p>
* An array observation space enables you to create an Observation Space of custom dimension
*/
@Value
public class ArrayObservationSpace<O> implements ObservationSpace<O> {
String name;
int[] shape;
INDArray low;
INDArray high;
public ArrayObservationSpace(int[] shape) {
name = "Custom";
this.shape = shape;
low = Nd4j.create(1);
high = Nd4j.create(1);
}
}