Sökning: "maximal inlärning"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden maximal inlärning.
1. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. LÄS MER
2. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. LÄS MER
3. Scaling up Maximum Entropy Deep Inverse Reinforcement Learning with Transfer Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis an issue with common inverse reinforcement learning algorithms is identified, which causes them to be computationally heavy. A solution is proposed which attempts to address this issue and which can be built upon in the future. LÄS MER
4. Power Plant Operation Optimization Economic dispatch of combined cycle power plants
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : As electricity production from renewable sources increases, higher flexibility is required by fossil fuel generation to cope with the inherent fluctuations of solar and wind power. This results in shorter operating cycles and steeper ramps for the turbines, and more uncertainty for the operators. LÄS MER
5. Tactical route planning in battlefield simulations with inverse reinforcement learning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this report Deep Maximum Entropy Inverse Reinforcement Learning has been applied to the problem of route planning in rough terrain, while taking tactical parameters into account. The tactical parameters that the report focuses on is to avoid detection from predetermined static observers by keeping blocking terrain in the sight line. LÄS MER