Sökning: "option games"

Visar resultat 1 - 5 av 32 uppsatser innehållade orden option games.

1. 1. Learning mechanism in game tutorials : For entertaining games

   Kandidat-uppsats,

   Författare :Mathias Jakobsson Ruuska; Carl Sjösten; Oscar Nilsson; [2023]
   Nyckelord :Learning; Entertaining Game; Serious game; League of Legends; Overwatch; Tutorials; Artificial Intelligence.;

   Sammanfattning : Investigating the crucial elements in game tutorials that have a significant impact on users' learning experience is fundamental to understand and improve game tutorials. By examining factors that could influence the players' learning, it's possible to find valuable information to enhance the learning process in gaming tutorials. LÄS MER

3. 2. Geometric Brownian Motion Option Pricing Model for Professional Football Contracts

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Dennis Markovic; Emil Schough; [2023]
   Nyckelord :Geometric Brownian motion; Football; Investment analysis; Real options;

   Sammanfattning : In recent years, the valuation of football players has gained significant attention, especially in the context of their transfer value in the market. Our investigation explores the application of a Geometric Brownian Motion option pricing model to estimate the transfer value of football players, considering the option-like characteristics of player contracts. LÄS MER

4. 3. Externa informationskällor och spelares erfarenheter med dem i relation till MMORPGs

   Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

   Författare :Emil af Jochnick; Wilma Toivola; [2023]
   Nyckelord :MMORPGs; digitala spel; informationssystem; informationsbeteende; informationsbehov;

   Sammanfattning : The purpose of this study is to achieve a deeper understanding of players’ information behavior in regard to MMORPGs’ external information sources. Despite MMORPGs being a popular recreational activity, and players of this genre of games demonstrating novel information search strategies, this is still an understudied aspect of LIS research. LÄS MER

5. 4. Evaluating behaviour tree integration in the option critic framework in Starcraft 2 mini-games with training restricted by consumer level hardware

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Lundberg; [2022]
   Nyckelord :Hierarchical reinforcement learning; reinforcement learning; behaviour tree; option critic; Starcraft 2; Hierarkiskt förstärkningsinlärning; förstärkningsinlärning; beteendeträd; option critic; Starcraft 2;

   Sammanfattning : This thesis investigates the performance of the option critic (OC) framework combined with behaviour trees (BTs) in Starcraft 2 mini-games when training time is constrained by a time frame limited by consumer level hardware. We test two such combination models: BTs as macro actions (OCBT) and BTs as options (OCBToptions) and measure the relative performance to the plain OC model through an ablation study. LÄS MER

7. 5. Real-Time Probabilistic Locomotion Synthesis for Uneven Terrain

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Emil Jonsson; [2021]
   Nyckelord :Machine learning; Probabilistic models; Normalising flow; Environment interaction; Animation Synthesis; Maskinginlärning; Probabilistiska metoder; Normaliserande flöden; Interaktion med omgivning; Animations-syntes;

   Sammanfattning : In modern games and animation there is a constant strive for more realistic motion. Today a lot of games use motion matching and blending with lots of post-processing steps to produce animations, but these methods often require huge amounts of motions clips while still having problems with realistic joint weights. LÄS MER