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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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log4j.rootLogger=INFO, stdout, file 

log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d{ABSOLUTE} %5p %c{1}:%L - %m%n

# Direct log messages to a log file
log4j.appender.file=org.apache.log4j.RollingFileAppender
log4j.appender.file.File=./IB.log
log4j.appender.file.MaxFileSize=1MB
log4j.appender.file.MaxBackupIndex=1
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{ISO8601} %-5p [%t] %c: %m%n


# logger level for core packages 
log4j.category.com.siemens.ct.fenrir.project.alice.poweropt = DEBUG

log4j.category.com.siemens.ct.fenrir.comproc.xmlgenerator.core.GeneratorParsingContext =  WARN

# reducing logger level for service packages 
log4j.category.com.siemens.ct.seneca = WARN
log4j.category.com.siemens.ct.fenrir.comproc.generator.core = WARN
log4j.category.com.siemens.sompc.util = WARN 




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