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A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced. The Industrial Benchmark aims at being be realistic in the sense, that it includes a variety of aspects that we found to be vital in industrial applications. It is not designed to be an approximation of any real system, but to pose the same hardness and complexity.

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/**
Copyright 2016 Siemens AG.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://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.
*/
package com.siemens.industrialbenchmark.datavector.action;

import java.util.ArrayList;
import java.util.List;

import com.siemens.industrialbenchmark.datavector.DataVectorDescription;

/** 
 * Action description for the ActionDelta 
 * 
 * @author Michel Tokic
 */
public class ActionDeltaDescription extends DataVectorDescription {

	public static final String DeltaVelocity = "DeltaVelocity"; // Velocity
    public static final String DeltaGain = "DeltaGain"; // Gain
    public static final String DeltaShift = "DeltaShift"; // GS
    
    private static List actionVars = new ArrayList();

    static{
    	actionVars.add(DeltaVelocity);
    	actionVars.add(DeltaGain);
    	actionVars.add(DeltaShift);
    }

    public ActionDeltaDescription() {
		super(actionVars);
	}
}




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