Sökning: "Adaptation decision-making"
Visar resultat 16 - 20 av 126 uppsatser innehållade orden Adaptation decision-making.
16. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER
17. Energy System Planning, Optimisation & the Impacts of Climate Hazards: the Case-Study of Malmö Municipality in Sweden
Kandidat-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : Urban areas house most of the global population and are also responsible for large shares of global greenhouse gas emissions. Cities and municipalities thus play a significant role in modern society to achieve an energy transition to renewable energy sources and to adapt to climate change. LÄS MER
18. Beyond the Green: Exploring how municipalities consider the planning and implementation of nature-based solutions
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Nature-based solutions (NbS) are gaining popularity as tools to address societal challenges while providing social, economic, and environmental benefits. Given that NbS is a relatively new concept, there is a lack of guidance on how NbS in urban areas can be adapted to fit their socio-spatial context and provide benefits. LÄS MER
19. Collaboration avenues and structures within local climate adaptation governance - The case of local climate adaptation governance in Sweden
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Climate change adaptation is essential to future-proof societies around the world. It is a cross-sectorial undertaking which requires collaboration, structure, long-term planning, and resources. LÄS MER
20. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. LÄS MER