Essays about: "convex optimization"
Showing result 16 - 20 of 80 essays containing the words convex optimization.
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16. Robustness, Stability and Performance of Optimization Algorithms for GAN Training
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Training Generative Adversial Networks (GANs) for image synthesis problems is a largely heuristical process that is known to be fickle and difficult to set up reliably. To avoid common failure modes and succeed with GAN training, one needs to find very specific hyperparameter settings carefully tuned to the model architectures and datasets at hand. READ MORE
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17. Development of Neural Networks Using Deterministic Transforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks have been a leading research topic within the machine learning field for the past few years. The introduction of graphical processing units (GPUs) and hardware advances made possible the training of deep neural networks. Previously the training procedure was impossible due to the huge amount of training samples required. READ MORE
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18. Tuning an MPC-based Motion Planner using Imitation Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Model Predictive Control, MPC, is one of the most commonly used controllers today. They are well understood with a vastly researched theoretical background. One of the core strengths of MPC is that it is possible to provide safety guarantees for complex systems through the constraints enforced in the optimization problem. READ MORE
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19. On the Topic of Unconstrained Black-Box Optimization with Application to Pre-Hospital Care in Sweden : Unconstrained Black-Box Optimization
University essay from Umeå universitet/Institutionen för fysikAbstract : In this thesis, the theory and application of black-box optimization methods are explored. More specifically, we looked at two families of algorithms, descent methods andresponse surface methods (closely related to trust region methods). READ MORE
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20. Learning model predictive control with application to quadcopter trajectory tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In thiswork, we develop a learning model predictive controller (LMPC) for energy-optimaltracking of periodic trajectories for a quadcopter. The main advantage of this controller isthat it is “reference-free”. Moreover, the controller is able to improve its performance overiterations by incorporating learning from the previous iterations. READ MORE
