Essays about: "replay value"
Showing result 1 - 5 of 7 essays containing the words replay value.
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1. Designing for Replayability : Designing a game with a simple gameplay loop for the purpose of being replayable
University essay from Uppsala universitet/Institutionen för speldesignAbstract : Replayability in games is important to many players as it increases the amount of play time they get out of a game for the price they paid, which is why it is interesting to know how replayability can be promoted in games with simple mechanics. Previous research has categorised what motivates players to play a game again, as aspects of replayability. READ MORE
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2. Insights on Creating a Growth Machine Using Attribution Modelling
University essay from KTH/Optimeringslära och systemteoriAbstract : Given access to detailed tracking data, the problem of attribution modelling has recently gained attention in both academia and the industry. Being able to determine the influence of each marketing channel in driving conversions can help advertisers to allocate their marketing budgets accordingly and ultimately increase their customer base and achieve a higher Return On Investment (ROI). READ MORE
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3. 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
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4. On Optimization of Sequential Decision-Making in Customer Relationship Management using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Customer relationship management (CRM) is a fickle but pivotal elementto the success of any business. Used correctly, it can not only yield higherrevenue and lower operational costs, but significantly boost customersatisfaction. Nonetheless, it can also be mismanaged—sacrificing thewell-being of customers for profitability. READ MORE
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5. Real-time System Control with Deep Reinforcement Learning
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : We reproduce the Deep Deterministic Policy Gradient algorithm presented in the paper Continuous Control With Deep Reinforcement Learning to verify its results. We also strive to explain the necessary machine learning framework needed to understand the algorithm. READ MORE
