Essays about: "Reward types"

Showing result 1 - 5 of 34 essays containing the words Reward types.

  1. 1. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Emil Högstedt; Ove Ødegård; [2023]
    Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

  2. 2. Beyond the Click: : Incentivizing Customer Responses in a Digital Space

    University essay from Södertörns högskola/Företagsekonomi

    Author : Angelina Petros; [2023]
    Keywords : Marketing; Incentive; Altruistic motivation; Reward types;

    Abstract : This research delves into the intricate dynamics of customer incentivization in company outreach, exploring the impact of incentives on consumer behavior. The study reveals a compelling connection between consumer opinions on monetary incentives and their actual responsiveness, emphasizing the need for strategic incentive-based programs. READ MORE

  3. 3. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lucas Alava Peña; [2023]
    Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

    Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE

  4. 4. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Amanda Rudälv; [2023]
    Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Abstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE

  5. 5. Challenges and opportunities of blockchain-based system for energy communities

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Elyas Khorasani; [2022]
    Keywords : Energy communities; Blockchain; Rewarding systems; Loyalty programs; Green energy incentives;

    Abstract : Blockchain technology has attracted a lot of interest recently. Many different sectors from all over the world are now researching the technology to find any prospective uses that can enhance their company. READ MORE