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 			JST | 
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Chaired by Artur Maria Schweidtmann (Delft University of Technology) and Calvin Tsay (Imperial College London) 			 | 
 
 			
		
	
 		 
 		 
 		
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 	15:40 | 16:00 | 
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				Proceeding #: 259 
		
Using Reinforcement Learning in a Game-like Setup for Automated Process Synthesis Without Prior Process Knowledge 
 		Quirin Göttl, Dominik G. Grimm and Jakob Burger 
 		
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 	16:00 | 16:20 | 
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				Proceeding #: 260 
		
Generation and Benefit of Surrogate Models for Blackbox Chemical Flowsheet Optimization 
 		Tim Janus, Felix Riedl and Sebastian Engell 
 		
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 	16:20 | 16:40 | 
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				Proceeding #: 261 
		
Flowsheet recognition using deep convolutional neural networks 
 		Lukas Schulze Balhorn, Qinghe Gao, Dominik Goldstein and Artur M. Schweidtmann 
 		
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 	16:40 | 17:00 | 
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				Proceeding #: 262 
		
Active learning for multi-objective optimization of processes and energy systems 
 		Julia Granacher and François Maréchal 
 		
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 	17:00 | 17:20 | 
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				Proceeding #: 263 
		
Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process 
 		Burcu Beykal, Zahir Aghayev, Onur Onel, Melis Onel and Efstratios N. Pistikopoulos 
 		
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							JST: Japan Standard Time (UTC+9).
							Time with asterisk* indicates the time of the date one day before.
							Time with double dagger‡ indicates the time of the date one day after.