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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.state;

import java.util.List;

import com.siemens.industrialbenchmark.datavector.DataVectorImpl;

public class MarkovianState extends DataVectorImpl {


	/**
	 * 
	 */
	private static final long serialVersionUID = -4104133495199919343L;

	/**
	 * Constructor with the names of convoluted operationalcost variables
	 * @param operationalcostVars
	 */
	public MarkovianState(List operationalcostVars) {
		super(new MarkovianStateDescription(operationalcostVars));
	}
}




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