A hybrid approach for dynamic task scheduling in unforeseen environments using multi agent reinforcement learning and enhanced Q-learning
Language: English Publisher: [2020]Description: xv, 86p. : col. ill. CD-ROMSubject(s): MULTI AGENT REINFORCEMENT LEARNING | DEEP Q-LEARNING | Q-LEARNING | DYNAMIC TASK SCHEDULING | UNFORESEEN ENVIRONMENT | INFORMATION TECHNOLOGY -Dissertation | COMPUTATIONAL MATHEMATICS -Dissertation | ARTIFICIAL INTELLIGENCE -Dissertation | MSc in Artificial IntelligenceOnline resources: Click here to access online Dissertation note: Department of Computational Mathematics Faculty of Information Technology University of Moratuwa 2020Item type | Current location | Call number | Shelving info | Copy number | Status | Date due | Barcode | Item holds | Course reserves |
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Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well. |
004.8(043) (Browse shelf) | DCM 04/62 | LB/TH/28/2022 | Not For Loan (Restricted Access) | TH4837 |
Total holds: 0
Department of Computational Mathematics Faculty of Information Technology University of Moratuwa 2020
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