{"file_date_updated":"2018-03-15T10:19:51Z","_id":"568","title":"Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition","date_created":"2017-10-17T12:42:43Z","citation":{"apa":"Jungmann, A., &#38; Kleinjohann, B. (2012). Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition. In <i>Proceedings of the 9th IEEE International Conference on Service Computing (SCC)</i> (pp. 701–702). <a href=\"https://doi.org/10.1109/SCC.2012.76\">https://doi.org/10.1109/SCC.2012.76</a>","mla":"Jungmann, Alexander, and Bernd Kleinjohann. “Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition.” <i>Proceedings of the 9th IEEE International Conference on Service Computing (SCC)</i>, 2012, pp. 701–02, doi:<a href=\"https://doi.org/10.1109/SCC.2012.76\">10.1109/SCC.2012.76</a>.","ama":"Jungmann A, Kleinjohann B. Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition. In: <i>Proceedings of the 9th IEEE International Conference on Service Computing (SCC)</i>. ; 2012:701-702. doi:<a href=\"https://doi.org/10.1109/SCC.2012.76\">10.1109/SCC.2012.76</a>","ieee":"A. Jungmann and B. Kleinjohann, “Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition,” in <i>Proceedings of the 9th IEEE International Conference on Service Computing (SCC)</i>, 2012, pp. 701–702.","chicago":"Jungmann, Alexander, and Bernd Kleinjohann. “Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition.” In <i>Proceedings of the 9th IEEE International Conference on Service Computing (SCC)</i>, 701–2, 2012. <a href=\"https://doi.org/10.1109/SCC.2012.76\">https://doi.org/10.1109/SCC.2012.76</a>.","short":"A. Jungmann, B. Kleinjohann, in: Proceedings of the 9th IEEE International Conference on Service Computing (SCC), 2012, pp. 701–702.","bibtex":"@inproceedings{Jungmann_Kleinjohann_2012, title={Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition}, DOI={<a href=\"https://doi.org/10.1109/SCC.2012.76\">10.1109/SCC.2012.76</a>}, booktitle={Proceedings of the 9th IEEE International Conference on Service Computing (SCC)}, author={Jungmann, Alexander and Kleinjohann, Bernd}, year={2012}, pages={701–702} }"},"user_id":"15504","year":"2012","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"}],"has_accepted_license":"1","status":"public","author":[{"last_name":"Jungmann","full_name":"Jungmann, Alexander","first_name":"Alexander"},{"last_name":"Kleinjohann","full_name":"Kleinjohann, Bernd","first_name":"Bernd"}],"abstract":[{"lang":"eng","text":"A major goal of the On-The-Fly Computing project is the automated composition of individual services based on services that are available in dynamic markets. Dependent on the granularity of a market, different alternatives that satisfy the requested functional requirements may emerge. In order to select the best solution, services are usually selected with respect to their quality in terms of inherent non-functional properties. In this paper, we describe our idea of how to model this service selection process as a Markov Decision Process, which we in turn intend to solve by means of Reinforcement Learning techniques in order to control the underlying service composition process. In addition, some initial issues with respect to our approach are addressed."}],"doi":"10.1109/SCC.2012.76","publication":"Proceedings of the 9th IEEE International Conference on Service Computing (SCC)","date_updated":"2022-01-06T07:02:31Z","type":"conference","file":[{"success":1,"file_id":"1274","file_name":"568-Towards_the_Application_of_Reinforcement_Learning_Techniques_for_Quality-Based_Service_Selection_in_Automated_Service_Composition.pdf","content_type":"application/pdf","access_level":"closed","relation":"main_file","date_created":"2018-03-15T10:19:51Z","date_updated":"2018-03-15T10:19:51Z","file_size":122607,"creator":"florida"}],"page":"701-702","ddc":["040"]}