A hybrid approach for dynamic task scheduling in unforeseen environments using multi agent reinforcement learning and enhanced Q-learning
Language: English Publication details: [2020]Description: xv, 86p. : col. ill. CD-ROMSubject(s): Online resources: Dissertation note: Department of Computational Mathematics Faculty of Information Technology University of Moratuwa 2020| Item type | Current library | Call number | Vol info | Copy number | Status | Barcode | Course reserves | |
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Thesis
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Library, University of Moratuwa Thesis Collection | 004.8(043) (Browse shelf(Opens below)) | 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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