Essays about: "video game training"

Showing result 1 - 5 of 32 essays containing the words video game training.

  1. 1. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

    University essay from

    Author : Nishant Pillai; Roberto Giaconia; [2023]
    Keywords : ;

    Abstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE

  3. 2. 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

  4. 3. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons

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

    Author : Axel Larsson; [2023]
    Keywords : Computer Vision; Deep learning; Machine learning; Object detection; Zeroshot; Datorseende; Djupinlärning; Maskininlärning; Objektdetektering; Zero-shot;

    Abstract : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. READ MORE

  5. 4. Exploring Resilience Building in Soulsborne Games

    University essay from Uppsala universitet/Institutionen för speldesign

    Author : Chushu Ye; [2023]
    Keywords : Soulsborne games; Psychological benefits; Resilience; Positive behavior change; Game design; Self-efficacy theory; Self-Determination Theory; Close reading; Content analysis.;

    Abstract : This study investigates how players experience psychological benefits, specifically in promoting resilience and positive behavior change, in Soulsborne games. It is important to note that this study does not suggest video games as a substitute for professional therapy or mental health treatment. READ MORE

  6. 5. Remembering how to walk - Using Active Dendrite Networks to Drive Physical Animations

    University essay from Umeå universitet/Institutionen för fysik

    Author : Klas Henriksson; [2023]
    Keywords : reinforcement learning; deep learning; physical animation; deep reinforcement learning; multi-task learning; multi-task reinforcement learning; machine learning; neural networks;

    Abstract : Creating embodied agents capable of performing a wide range of tasks in different types of environments has been a longstanding challenge in deep reinforcement learning. A novel network architecture introduced in 2021 called the Active Dendrite Network [A. Iyer et al. READ MORE