Sökning: "Reinforcement Learning"

Visar resultat 1 - 5 av 239 uppsatser innehållade orden Reinforcement Learning.

  1. 1. Adaptive network selection for moving agents using deep reinforcement learning

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

    Författare :William Skagerström; [2021]
    Nyckelord :;

    Sammanfattning : With the rapid development and deployment of “Internet of Things”-devices comes a new era of benefits to increase the efficiency of our everyday lives. Many of these devices rely on having an established network connection in order to operate at peak performance, but this requirement could be hard to guarantee in the face of less supported infrastructure in certain parts of the world. LÄS MER

  2. 2. Application of Deep Q-learning for Vision Control on Atari Environments

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik

    Författare :Jim Öhman; [2021]
    Nyckelord :Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

    Sammanfattning : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. LÄS MER

  3. 3. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks

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

    Författare :Mayank Gulati; [2021]
    Nyckelord :reinforcement learning; transfer learning; simulation-to-reality; simulator; realworld; real-world network data; remote electrical tilt optimization; cellular networks; antenna tilt; network optimization.;

    Sammanfattning : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. LÄS MER

  4. 4. Explainable Artificial Intelligence for Reinforcement Learning Agents

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

    Författare :Linus Nilsson; [2021]
    Nyckelord :;

    Sammanfattning : Following the success that machine learning has enjoyed over the last decade, reinforcement learning has become a prime research area for automation and solving complex tasks. Ranging from playing video games at a professional level to robots collaborating in picking goods in warehouses, the applications of reinforcement learning are numerous. LÄS MER

  5. 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