Sökning: "AI-agent"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet AI-agent.

  1. 1. MCTS, Minimax och brädspelet Fyra i rad : Jämförelseanalys i prestation av algoritmerna Monte Carlo Tree Search & Minimax

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Sofia Ågren; [2022]
    Nyckelord :MCTS; Minimax; två-spelar-spel; algoritmer; AI-agent; artificiell intelligens;

    Sammanfattning : Monte Carlo tree search (MCTS) och Minimax är två sökalgoritmer som används inom artificiell intelligens och två-spelar-spel. I denna studie implementeras Minimax och MCTS som två AI-agenter för brädspelet Fyra i rad. Studien innehåller olika experiment i form av spelturneringar för att jämföra algoritmernas prestation. LÄS MER

  3. 2. Decision-making AI in digital games

    Master-uppsats, Uppsala universitet/Informationssystem

    Författare :Ahmad Al Shehabi; [2022]
    Nyckelord :Decision-making; Goal Oriented Action Planning; GOAP; Agent; AI; Artificial Intelligence; Behavior Trees; Finite State Machines; FSM;

    Sammanfattning : The field of artificial intelligence has gained much knowledge through the implementation of decision-making systems in video games. One of these systems was the Goal Oriented Action Planning system (GOAP) which directs the behavior of an AI-agent through multiple digital artifacts categorized as goals, actions, and plans. LÄS MER

  4. 3. Simulation driven reinforcement learning : Improving synthetic enemies in flight simulators

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Jesper Lindberg; [2020]
    Nyckelord :;

    Sammanfattning : This project focuses on how to implement an Artificial Intelligence (AI) -agent in a Tactical Simulator (Tacsi). Tacsi is a simulator used by Saab AB, one thing that the simulator is used for is pilot training. In this work, Tacsi will be used to simulate air to air combat. LÄS MER

  5. 4. Det som är Roligt, är Roligt

    Kandidat-uppsats,

    Författare :Anton Berg; [2019]
    Nyckelord :Artificial Intelligence; Reinforcement Learning; Deep Learning; Deep Q-Network; Enjoyability; Video Game; First Person Shooter; Unreal Tournament 2004; Optimality;

    Sammanfattning : This thesis explores the perceived enjoyability of Deep Reinforcement learning AI agents (DeepRL agent) that strives towards optimality within the First Person Shooter game Unreal Tournament 2004 (UT2004). The DeepRL agent used in the experiments was created and then trained within this game against the AI agent which comes with the UT2004 game (known here as a trivial UT2004 agent). LÄS MER

  7. 5. If It’s Fun, It’s Fun : Deep Reinforcement Learning In Unreal Tournament 2004

    Kandidat-uppsats,

    Författare :Anton Berg; [2018]
    Nyckelord :;

    Sammanfattning : This thesis explores the perceived enjoyability of Deep Reinforcement learning AI agents (DeepRL agent) that strives towards optimality within the First Person Shooter game Unreal Tournament 2004 (UT2004). The DeepRL agent used in the experiments was created and then trained within this game against the AI agent which comes with the UT2004 game (known here as a trivial UT2004 agent). LÄS MER