Essays about: "game architecture"
Showing result 1 - 5 of 88 essays containing the words game architecture.
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1. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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2. Radar and sea clutter simulation with Unity 3D game engine
University essay from Linköpings universitet/Programvara och systemAbstract : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. READ MORE
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3. If a Tree Falls in the Forest - Three Interventions in the Swedish Forest to Come
University essay from KTH/ArkitekturAbstract : Our thesis project consists of three architectural interventions: The Mushroom, The Gnat and The Snake, fitting into a vision of a Swedish forest managed in a more sustainable way. A future in which the practice of clear-felling has been abandoned in favor of alternative methods falling under the umbrella term Continuous Cover Forestry (CCF). READ MORE
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4. MLOps paradigm - a game changer in Machine Learning Engineering?
University essay from Uppsala universitet/InformationssystemAbstract : In the last 5+ years, researchers and the industry have been working hard to adopt MLOps (Machine Learning Operations) to maximize production. The current literature on MLOps is still mostly disconnected and sporadic (Testi et al., 2022). READ MORE
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5. Creating an AI opponent withsuper-human performance for Splendor
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : This project is in collaboration with Piktiv AB. The purpose of the project is tocreate a reinforcement learning agent capable of reaching super human performancein the board game Splendor.Three agents was implemented using a Double Deep Q-Network and certain improvements to the architecture. READ MORE