Essays about: "Hindsight"
Showing result 6 - 10 of 29 essays containing the word Hindsight.
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6. Deep Reinforcement Learning for Dynamic Grasping
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Dynamic grasping is the action of, using only contact force, manipulating the position of a moving object in space. Doing so with a robot is a quite complex task in itself, but is one with wide-ranging applications. READ MORE
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7. Better Sorry Than Safe? : An evaluation of Scandinavian acquirers participating in European mergers and acquisitions between 2010-2017
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : Mergers and acquisitions (M&A) are a popular way of growing a company. This is challenged by previous research that shows that an M&A-transaction generally harms the financial key metrics of the acquiring company. READ MORE
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8. Samhällsplanering – ett barn av sin tid? : modernismens och nyliberalismens påverkan på barns utemiljöer i staden
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : Samhällsplanering har alltid präglats av ideologier. Uppfattningen om hur staden ska planeras och formas har samtidigt varit allt annat än enig. Under de modernistiska åren från 1930-talet fram till omkring 1970-talet decentraliserades staden. READ MORE
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9. Enforcing low confidence class predictions for out of distribution data in deep convolutional networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern discriminative deep neural networks are known to perform high confident predictions for inputs far away from the training data distribution, commonly referred to as out-of-distribution inputs. This property poses security concerns for the deployment of deep learning models in critical applications like autonomous vehicles because it hinders the detection of such inputs. READ MORE
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10. Network Drone Control using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this work, a reinforcement learning approach is adopted to control a drone in a cellular network. The goal is to find paths between arbitrary locations such that low radio quality areas, defined with respect to signal-to-interference-plus-noise-ratio, are avoided with the cost of longer flight paths. READ MORE