Essays about: "Wargame"

Showing result 1 - 5 of 6 essays containing the word Wargame.

  1. 1. Exploring Game Balance and Tactics with AI in the Educational Wargame Counter-Air

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

    Author : Lucas Pelz; Melker Bengtsson; [2023]
    Keywords : ;

    Abstract : This report describes a study of the game balance of the wargame Counter-Air,using the artificial intelligence model AlphaZero. The project also analyzed the most effectivestrategies in the game regarding allocation of pieces to a set number of roles. Counter-Air is a board game being developed for use in tactical training of military officers. READ MORE

  3. 2. Comparison of ’Fog of War’ models in digital wargames : Using Entity-Component-System architecture and ArcGIS

    University essay from KTH/Hälsoinformatik och logistik

    Author : Karim Osama Obeia; Agata Łucja Wójcik; [2023]
    Keywords : Fog of War; Wargame; Line of Sight; ECS; Entity Component System; ArcGIS; Krigsdimma; Krigsspel; Siktlinje; ECS; Entity Component System; ArcGIS;

    Abstract : Fog of War is a term for uncertainty in situational awareness. Fog of War is an essential part of a wargame which causes the participating units’ perception of the environment to be distorted and altered. Introducing a certain amount of uncertainty helps to better mimic the situation on the battlefield. READ MORE

  4. 3. Aerial Combat in the Educational Wargame Counter Air With AlphaZero

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

    Author : Casper Matthäi; Isak Sundholm; [2023]
    Keywords : ;

    Abstract : This report investigates the game balance of Philip Sabin's educational wargameCounter Air using AlphaZero and MCTS. The results show that the attacking side has theadvantage and finds a better strategy faster than the defender. READ MORE

  5. 4. AI for an Imperfect-Information Wargame with Self-Play Reinforcement Learning

    University essay from KTH/Matematik (Avd.)

    Author : Filip Ryblad; [2021]
    Keywords : ReBeL; deep reinforcement learning; self-play; game theory; imperfect-information; ReBeL; djup förstärkningsinlärning; självspelande; spelteori; imperfekt information;

    Abstract : The task of training AIs for imperfect-information games has long been difficult. However, recently the algorithm ReBeL, a general framework for self-play reinforcement learning, has been shown to excel at heads-up no-limit Texas hold 'em, among other imperfect-information games. READ MORE

  6. 5. Zero-Knowledge Agent Trained for the Game of Risk

    University essay from Uppsala universitet/Signaler och system

    Author : Simon Bethdavid; [2020]
    Keywords : Deep Reinforcement Learning; Zero-Knowledge Agent; AlphaZero; Expert Iteration; Risk;

    Abstract : Recent developments in deep reinforcement learning applied to abstract strategy games such as Go, chess and Hex have sparked an interest within military planning. This Master thesis explores if it is possible to implement an algorithm similar to Expert Iteration and AlphaZero to wargames. READ MORE