Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Soft Actor-Critic"”.
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A Comprehensive Study on Energy Management Strategy Design of an Extended-Range Electric Vehicle
… health. The comparative results show that the Soft Actor-Critic (SAC) had a 36% faster convergence speed than a traditional algorithm while providing a smoother and more stable action space. The fuel consumption with SAC also outplays by around 3%, which achieves almost 90% of the DP results.
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A Safe and Robust Multi-Agent Motion Planning Framework for Urban Air Mobility
… by selecting informative training points via a soft actor/critic (SAC) framework. We also use this same framework to augment target system inputs to ensure safe control online, as well as monitor the system to detect any potential hardware faults or adversarial attack. Both our motion planning …
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Collaborative Autonomy of Multi-Agent Aerial Systems for Future Disaster Response
… computing framework consisting of a K-Grouped Soft Actor-Critic with Trajectory Planning (KGSAC-TP) algorithm for UAV and a User Switching Mechanism (USM) for heterogeneous users. Furthermore, Chapter 6 designed an Agentic Retrieval-Augmented Generation framework that enables …
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Orbital Maneuvers and Interplanetary Trajectory Design via Reinforcement Learning
… including Proximal Policy Optimization and Soft Actor-Critic, are implemented and evaluated across a diverse set of trajectory design problems: orbit-raising maneuvers, inclination change maneuvers, combined orbital maneuvers, and an asteroid rendezvous mission targeting near-Earth asteroid …
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Learning-based Decision Making in Wireless Communications
… optimization methods to quickly solve critical decision-making problems. With this motivation, in this thesis, machine learning methods are developed and utilized for obtaining optimal/near-optimal solutions for timely decision making in wireless networks.</p><p>Content caching at the …
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
… the adoption of solar PV is that environmental factors like buildings, clouds, trees, etc., can produce shading on the series-connected solar panel, thus, changing how each panel behaves. This phenomenon is known as solar PV “partial shading conditions (PSCs)”. This phenomenon can create “one …
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Guidance, Navigation, and Control Techniques for Service Robotics
L'abstract è presente nell'allegato / the abstract is in the attachment