Browsing Systems Design Engineering by Subject "reinforcement learning"
Now showing items 1-5 of 5
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Adversarial Machine Learning and Defenses for Automated and Connected Vehicles
(University of Waterloo, 2024-04-18)This thesis delves into the realm of adversarial machine learning within the context of Connected and Automated Vehicles (CAVs), presenting a comprehensive study on the vulnerabilities and defense mechanisms against ... -
Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems
(University of Waterloo, 2019-09-23)In this study, an innovative energy management system (EMS) employing the promising reinforcement learning (RL) method is proposed. The EMS intelligently administrates the power flow between the main battery which is fed ... -
Navigating Unsignalized Intersections: Deep RL-Based Decision-Making and Control Framework for Autonomous Vehicles with Pedestrian Integration
(University of Waterloo, 2024-04-25)Unprotected left turns at unsignalized intersections, alongside pedestrians and adversarial vehicles, pose significant challenges for Autonomous Vehicle (AV)s. These challenges stem from the absence of traffic signals or ... -
Reinforcement Learning for Parameter Control of Image-Based Applications
(University of Waterloo, 2004)The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. ... -
Storage System Management Using Reinforcement Learning Techniques and Nonlinear Models
(University of Waterloo, 2009-01-21)In this thesis, modeling and optimization in the field of storage management under stochastic condition will be investigated using two different methodologies: Simulation Optimization Techniques (SOT), which are usually ...