Essays about: "regret optimization."
Found 3 essays containing the words regret optimization..
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1. Reference Tracking with Adversarial Adaptive Output- Feedback Model Predictive Control
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Model Predictive Control (MPC) is a control strategy based on optimization that handles system constraints explicitly, making it a popular feedback control method in real industrial processes. However, designing this control policy is an expensive operation since an explicit model of the process is required when re-tuning the controller. READ MORE
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2. Distributed Bayesian Optimization in Multi-Agent Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A variety of engineering problems require extremely resource consuming system performance optimization with an inaccessible system model, some examples include tuning the hyper-parameters in a complex machine learning model, simulation-based aerodynamic design and power system optimization. Bayesian optimization is an approach to solve black-box optimization problems when sample efficiency is of high priority. READ MORE
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3. Algorithmic Study on Prediction with Expert Advice : Study of 3 novel paradigms with Grouped Experts
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The main work for this thesis has been a thorough study of the novel Prediction with Partially Monitored Grouped Expert Advice and Side Information paradigm. This is newly proposed in this thesis, and it extends the widely studied Prediction with Expert Advice paradigm. READ MORE