Sökning: "Markov Game"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Markov Game.

  1. 1. Moving in the dark : Mathematics of complex pedestrian flows

    Magister-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Meghashyam Veluvali; [2023]
    Nyckelord :Mathematical modelling of pedestrian dynamics; stochastic systems; evacuation time; random walk method; parabolic equation; finite difference method;

    Sammanfattning : The field of mathematical modelling for pedestrian dynamics has attracted significant scientific attention, with various models proposed from perspectives such as kinetic theory, statistical mechanics, game theory and partial differential equations. Often such investigations are seen as being a part of a new branch of study in the domain of applied physics, called sociophysics. LÄS MER

  3. 2. Self-Play Reinforcement Learning for Finding Intrusion Prevention Strategies

    Master-uppsats, KTH/Matematisk statistik

    Författare :Jakob Stymne; [2022]
    Nyckelord :Network security; automation; reinforcement learning; Markov Security Games; Neural Fictitious Self Play; Nätverkssäkerhet; automatisering; förstärkningsinlärning; Markovianska säkerhetsspel; Neural Fictitious Self Play;

    Sammanfattning : This Master thesis studies automated intrusion prevention using self-play reinforcement learning. We extend a decision-theoretic model of the intrusion prevention use case based on optimal stopping theory proposed in previous work to a game-theoretic setting. LÄS MER

  4. 3. Deep Reinforcement Learning for Card Games

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Tegnér Mohringe; Rayan Cali; [2022]
    Nyckelord :Reinforcement Learning; Deep Q-Learning; Deep Monte-Carlo; Poker;

    Sammanfattning : This project aims to investigate how reinforcement learning (RL) techniques can be applied to the card game LimitTexas Hold’em. RL is a type of machine learning that can learn to optimally solve problems that can be formulated according toa Markov Decision Process. LÄS MER

  5. 4. Context Matters for Evaluating the Performace of Ice Hockey Players

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Yahaya Usman; [2022]
    Nyckelord :;

    Sammanfattning : In recent years, statistical methods for analysing athletes’ performances have revolutionisedthe world of sports. One area where these statistical methods have been applied is the quantification of player performance in the game of ice hockey. LÄS MER

  7. 5. Not All Goals Are Created Equal : Evaluating Hockey Players in the NHL Using Q-Learning with a Contextual Reward Function

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Jon Vik; [2021]
    Nyckelord :Sports Analytics; Markov Game; Machine Learning; Reinforcement Learning; Q-Learning; Data Mining; National Hockey League; Ice Hockey; Reward Function; Player Evaluation;

    Sammanfattning : Not all goals in the game of ice hockey are created equal: some goals increase the chances of winning more than others. This thesis investigates the result of constructing and using a reward function that takes this fact into consideration, instead of the common binary reward function. LÄS MER