Essays about: "tree improvement"

Showing result 16 - 20 of 65 essays containing the words tree improvement.

  1. 16. Evaluating behaviour tree integration in the option critic framework in Starcraft 2 mini-games with training restricted by consumer level hardware

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

    Author : Fredrik Lundberg; [2022]
    Keywords : Hierarchical reinforcement learning; reinforcement learning; behaviour tree; option critic; Starcraft 2; Hierarkiskt förstärkningsinlärning; förstärkningsinlärning; beteendeträd; option critic; Starcraft 2;

    Abstract : This thesis investigates the performance of the option critic (OC) framework combined with behaviour trees (BTs) in Starcraft 2 mini-games when training time is constrained by a time frame limited by consumer level hardware. We test two such combination models: BTs as macro actions (OCBT) and BTs as options (OCBToptions) and measure the relative performance to the plain OC model through an ablation study. READ MORE

  2. 17. Investigating the Use of Deep Learning Models for Transactional Underwriting

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

    Author : Samuel Tober; [2022]
    Keywords : Tabular Data; Deep Learning; Explainable Machine Learning; Underwriting; Tabelldata; Djupinlärning; Förklaringsbar maskininlärning; Underwriting;

    Abstract : Tabular data is the most common form of data, and is abundant throughout crucial industries, such as banks, hospitals and insurance companies. Albeit, deep learning research has largely been dominated by applications to homogeneous data, e.g. images or natural language. READ MORE

  3. 18. Deep Reinforcement LearningA case study of AlphaZero

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Fredrik Mattisson; [2021]
    Keywords : ;

    Abstract : Using deep neural networks for reinforcement learning has proven very successful, as demonstrated by the AlphaZero algorithm developed by DeepMind in 2018. This algorithm is capable of mastering two-player zero-sum board games entirely by playing against itself. READ MORE

  4. 19. Attityder kring föryngring hos privata skogsägare i Mellansverige

    University essay from SLU/School for Forest Management

    Author : Torbjörn Jakobsson; Gustav Sven Hultén; [2021]
    Keywords : markberedning; enkät; intervju; återbeskogning;

    Abstract : Skogens roll blir allt viktigare för samhället i takt med att vi ställer om till en bioekonomi och för att säkra den framtida skogsråvaran som kommer behövas är det viktigt att uppnå en godkänd föryngring. Under senare år har andelen godkända föryngringar ökat, mycket tack vare effektivare föryngringsåtgärder bland annat högre utnyttjande av markberedning och plantering. READ MORE

  5. 20. Increasing Retention in Insurtechs Through Churn Prediction

    University essay from Lunds universitet/Innovationsteknik

    Author : John Rapp Farnes; Oskar Christiansen; [2021]
    Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

    Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE