Essays about: "environment disturbances"
Showing result 16 - 20 of 127 essays containing the words environment disturbances.
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16. Liquidity Providing: Study on liquidity providing in the Nordic stock markets
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Risk and return go hand in hand, and one way for a firm to mitigate existing and potential investors' risk in a stock is to employ a financial service; liquidity providing. The value of liquidity provision has become relevant as market uncertainties and shocks in the market create disturbances. READ MORE
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17. Planning future forests for energy, environment and wildlife : Evaluation of forest management scenarios using a forest landscape model in Sweden
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Comparing the future state of natural capital and ecosystem services with quantitative scenarios is essential in the decision-making process for a sustainable management of forest landscapes. In Sweden, an intensified forest management will likely be necessary to meet future demands of woody biomass as a source of bioenergy and building materials. READ MORE
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18. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE
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19. Labyrinth Navigation Using Reinforcement Learning with a High Fidelity Simulation Environment
University essay from Linköpings universitet/ReglerteknikAbstract : This is a master thesis on the subject of navigation and control using reinforcementlearning, more specifically discrete Q-learning. The Q-learning algorithmis used to develop a steer policy from training inside of a simulation environment.The problem is to navigate a steel ball through a maze made from walls and holes. READ MORE
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20. Autonomous Docking of an Unmanned Surface Vehicle using Model Predictive Control
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Autonomous docking of marine vessels presents challenges different from the ones faced when travelling at open sea or in an archipelago. External disturbances due to the varying environment and accurate positioning at low speed are examples of these kinds of challenges. READ MORE
