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    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

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    35.232-2019.65a Mohammed Omer Alamin Alhusin.pdf (5.775Mb)
    35.232-2019.65a Mohammed Omer Alamin Alhusin_Compressed.pdf (1.176Mb)
    Date
    2019-12
    Author
    Alhusin, Mohammed Omer Alamin
    Advisor(s)
    Pasquier, Michel
    Barlas, Gerassimos
    Type
    Thesis
    Metadata
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    Description
    A Master of Science thesis in Computer Engineering by Mohammed Omer Alamin Alhusin entitled, “Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management”, submitted in December 2019. Thesis advisor is Dr. Michel Pasquier and thesis co-advisor is Dr. Gerassimos Barlas. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).
    DSpace URI
    http://hdl.handle.net/11073/16577
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