Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385890254> ?p ?o ?g. }
Showing items 1 to 51 of
51
with 100 items per page.
- W4385890254 abstract "The transformation towards renewable energy and feedstock supply in the chemical industry requires new conceptual process design approaches. Recently, breakthroughs in artificial intelligence offer opportunities to accelerate this transition. Specifically, deep reinforcement learning, a subclass of machine learning, has shown the potential to solve complex decision-making problems and aid sustainable process design. We survey state-of-the-art research in reinforcement learning for process design through three major elements: (i) information representation, (ii) agent architecture, and (iii) environment and reward. Moreover, we discuss perspectives on underlying challenges and promising future works to unfold the full potential of reinforcement learning for process design in chemical engineering." @default.
- W4385890254 created "2023-08-17" @default.
- W4385890254 creator A5024463249 @default.
- W4385890254 creator A5085291703 @default.
- W4385890254 date "2023-08-15" @default.
- W4385890254 modified "2023-09-27" @default.
- W4385890254 title "Deep reinforcement learning for process design: Review and perspective" @default.
- W4385890254 doi "https://doi.org/10.48550/arxiv.2308.07822" @default.
- W4385890254 hasPublicationYear "2023" @default.
- W4385890254 type Work @default.
- W4385890254 citedByCount "0" @default.
- W4385890254 crossrefType "posted-content" @default.
- W4385890254 hasAuthorship W4385890254A5024463249 @default.
- W4385890254 hasAuthorship W4385890254A5085291703 @default.
- W4385890254 hasBestOaLocation W43858902541 @default.
- W4385890254 hasConcept C111919701 @default.
- W4385890254 hasConcept C12713177 @default.
- W4385890254 hasConcept C127413603 @default.
- W4385890254 hasConcept C154945302 @default.
- W4385890254 hasConcept C34972735 @default.
- W4385890254 hasConcept C41008148 @default.
- W4385890254 hasConcept C56739046 @default.
- W4385890254 hasConcept C78519656 @default.
- W4385890254 hasConcept C97541855 @default.
- W4385890254 hasConcept C98045186 @default.
- W4385890254 hasConceptScore W4385890254C111919701 @default.
- W4385890254 hasConceptScore W4385890254C12713177 @default.
- W4385890254 hasConceptScore W4385890254C127413603 @default.
- W4385890254 hasConceptScore W4385890254C154945302 @default.
- W4385890254 hasConceptScore W4385890254C34972735 @default.
- W4385890254 hasConceptScore W4385890254C41008148 @default.
- W4385890254 hasConceptScore W4385890254C56739046 @default.
- W4385890254 hasConceptScore W4385890254C78519656 @default.
- W4385890254 hasConceptScore W4385890254C97541855 @default.
- W4385890254 hasConceptScore W4385890254C98045186 @default.
- W4385890254 hasLocation W43858902541 @default.
- W4385890254 hasOpenAccess W4385890254 @default.
- W4385890254 hasPrimaryLocation W43858902541 @default.
- W4385890254 hasRelatedWork W260766989 @default.
- W4385890254 hasRelatedWork W2959276766 @default.
- W4385890254 hasRelatedWork W3022038857 @default.
- W4385890254 hasRelatedWork W3074294383 @default.
- W4385890254 hasRelatedWork W3111983280 @default.
- W4385890254 hasRelatedWork W3139193008 @default.
- W4385890254 hasRelatedWork W3164468573 @default.
- W4385890254 hasRelatedWork W4206669594 @default.
- W4385890254 hasRelatedWork W4295941380 @default.
- W4385890254 hasRelatedWork W4319083788 @default.
- W4385890254 isParatext "false" @default.
- W4385890254 isRetracted "false" @default.
- W4385890254 workType "article" @default.