Essays about: "Risk policy process"
Showing result 1 - 5 of 130 essays containing the words Risk policy process.
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1. Expectations and reality of sustainable stormwater management : A review of implementation of Nature-Based Solutions - A case study of Southern Stockholm
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : The shrinking of permeable areas in favour of urban development is a phenomenon described in both scientific literature and policy documents. Changes in rainfall intensity and frequency following climate change are expected, but predicting the exact magnitude of these changes remains unclear. READ MORE
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2. Risk-Averse Multi-Armed Bandit Problem with Multiple Plays
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This study aims to construct an efficient heuristic, referred to as RA, for a riskaverse Markovian multi-armed bandit problem (MAB) with multiple plays. The RA incorporates risk-aversion and multiple plays by modifying the Gittins index strategy. READ MORE
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3. TRANSPARENCY AND THE RESOURCE CURSE IN GHANA: A CASE STUDY Changes since oil discovery
University essay from Göteborgs universitet/Statsvetenskapliga institutionenAbstract : When a country has high levels of natural resources, they risk falling prey to the resource curse. Studies show a correlation between high levels of natural resources and corruption as well as lower quality institutions and less democracy. Transparency is a key precondition for accountability and mitigating corruption. READ MORE
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4. Social Policy from Above? : Europeanisation of Swedish Social Policy 1990-2019
University essay from Stockholms universitet/Sociologiska institutionenAbstract : At the same time as the European Union’s (EU) influence has grown, path-breaking changes in Sweden’s social policy characteristics have appeared. Previous research gives contradictory evidence on whether and how these developments relate, and it remains unknown to what extent the EU contributed to the changes observed in Sweden. READ MORE
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5. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE