Advanced search

Showing result 1 - 5 of 19 essays matching the above criteria.

  1. 1. Risk-Averse Multi-Armed Bandit Problem with Multiple Plays

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Siri Dahlgren; Nicholas Marriott; [2023-10-23]
    Keywords : MAB; Gittins; Markovian bandit; risk-aversion; policy iteration; multiple plays;

    Abstract : This study aims to construct an efficient heuristic, referred to as RA, for a riskaverse Markovian multi-armed bandit problem (MAB) with multiple plays. The RA incorporates risk-aversion and multiple plays by modifying the Gittins index strategy. READ MORE

  3. 2. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Enzo Alexander Cording; [2023]
    Keywords : Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

    Abstract : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. READ MORE

  4. 3. Imitation Learning on Branching Strategies for Branch and Bound Problems

    University essay from KTH/Matematisk statistik

    Author : Magnus Axén; [2023]
    Keywords : Graph Networks; Convolutions; MIP; Branch and Bound; Facility Location Problem; MDP; Imitation Learning; Graf nätverk; Faltning; Blandade heltaltsproblem; Branch and Bound; Facility Location Problem; Markov; Imitationsinlärning;

    Abstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE

  5. 4. Energy Sustainable Reinforcement Learning-based Adaptive Duty-Cycling in Wireless Sensor Networks-based Internet of Things Networks

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Nadia Charef; [2023]
    Keywords : Reinforcement Learning; Q-learning; Dynamic Energy Management; Energy Sustainabiltiy; IEEE802.15.4 MAC Protocol; Adaptive Duty Cycling; Wireless Sensors Networks; Internet of Things;

    Abstract : The Internet of Things (IoT) is widely adopted across various fields due to its flexibility and low cost. Energy-harvesting Wireless Sensor Networks (WSNs) are becoming a building block of many IoT applications and provide a perpetual source of energy to power energy-constrained IoT devices. READ MORE

  6. 5. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining

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

    Author : Charlie Mårtensson; [2023]
    Keywords : Association rule hiding; privacy-preserving data mining; evolutionary algorithms; performance evaluation; Associationsregeldöljning; sekretessbevarande datautvinning; evolutionära algoritmer; prestandaevaluering;

    Abstract : Association rule hiding (ARH) is the process of modifying a transaction database to prevent sensitive patterns (association rules) from discovery by data miners. An optimal ARH technique successfully hides all sensitive patterns while leaving all nonsensitive patterns public. READ MORE