Litcius/Paper detail

Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation

Haeun Yoo, Boeun Kim, Jong Woo Kim, Jay H. Lee

2020Computers & Chemical Engineering128 citationsDOI

Topics & Concepts

Reinforcement learningComputer scienceMonte Carlo methodProcess (computing)Bellman equationModel predictive controlEnvelope (radar)Function (biology)Batch processingRepresentation (politics)Optimal controlMathematical optimizationArtificial intelligenceControl (management)Control theory (sociology)MathematicsLawRadarOperating systemPoliticsBiologyTelecommunicationsStatisticsPolitical scienceEvolutionary biologyProgramming languageAdvanced Control Systems OptimizationProcess Optimization and IntegrationReinforcement Learning in Robotics
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation | Litcius