Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

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 a...

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Bibliographic Details
Main Author: Alhusin, Mohammed Omer Alamin (author)
Format: doctoralThesis
Published: 2019
Subjects:
Markov Decision Process
Markov Game
Deep Learning
Multi-Agent Reinforcement Learning
Convolutional Neural Network
Fleet Management
Taxi Dispatch Problem
Online Access:http://hdl.handle.net/11073/16577
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http://hdl.handle.net/11073/16577

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