Sökning: "markov decision process"

Visar resultat 16 - 20 av 50 uppsatser innehållade orden markov decision process.

  1. 16. Värdet av data : en studie på hur skidanläggningar kan dra nytta av data

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Yvonne Neu Jönsson; Oskar Lindström; [2021]
    Nyckelord :Data; Data Analytics; Markov Chain; Data-Driven Decision Making; Data; Dataanalys; Markovkedja; Datadrivet beslutsfattande;

    Sammanfattning : I takt med digitaliseringen blir datadrivet beslutsfattande det nya normala i många branscher. Konkurrensfördelarna är allmänt kända eftersom det hjälper företag att utvecklas. LÄS MER

  3. 17. Risk-aware Autonomous Driving Using POMDPs and Responsibility-Sensitive Safety

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

    Författare :Caroline Skoglund; [2021]
    Nyckelord :Computer Science - Robotics; Autonomous driving; partially observable Markov decision process; motion planning under uncertainty; risk estimation;

    Sammanfattning : Autonomous vehicles promise to play an important role aiming at increased efficiency and safety in road transportation. Although we have seen several examples of autonomous vehicles out on the road over the past years, how to ensure the safety of autonomous vehicle in the uncertain and dynamic environment is still a challenging problem. LÄS MER

  4. 18. Belief-aided Robust Control for Remote Electrical Tilt Optimization

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

    Författare :Jack Jönsson; [2021]
    Nyckelord :Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Sammanfattning : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. LÄS MER

  5. 19. Research on Dynamic Offloading Strategy of Satellite Edge Computing Based on Deep Reinforcement Learning

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

    Författare :Rui Geng; [2021]
    Nyckelord :Deep reinforcement learning; Satellite edge computing; Offloading strategy; Djup Förstärkning Lärande; Satellit Kant Datoranvändning; Avlastning Strategi;

    Sammanfattning : Nowadays more and more data is generated at the edge of the network, and people are beginning to consider decentralizing computing tasks to the edge of the network. The network architecture of edge computing is different from the traditional network architecture. LÄS MER

  7. 20. AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Victor Mårtensson; [2021]
    Nyckelord :Mathematics and Statistics; Technology and Engineering;

    Sammanfattning : Traditional meal planning for large kitchens is a laborious and complex affair with multiple external constraints imposed on the meal plan, such as a healthy nutrition profile and a low environmental impact, which should be fulfilled while being under budget. This is a tough task for humans but by modelling the process with a Markov Decision Process and using Reinforcement Learning an agent can be taught to create meal plans from constraints. LÄS MER