Sökning: "reinforcement"

Visar resultat 1 - 5 av 499 uppsatser innehållade ordet reinforcement.

  1. 1. Multi Agent Reinforcement Learning

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Rikard Isaksson; [2019-06-13]
    Nyckelord :;

    Sammanfattning : Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is a group of machine learning algorithms where one does not know the correct answer in advance, much like unsupervised learning. LÄS MER

  2. 2. Towards Machine Learning Enabled Automatic Design of IT-Network Architectures

    Master-uppsats, KTH/Matematisk statistik

    Författare :Lova Wåhlin; [2019]
    Nyckelord :IT-Architecture graph; Node Embedding; Graph Embedding; Reinforcement Learning; Machine Learning; IT-Arkitektur; Node Embedding; Graph Embedding; Reinforcement learning; Maskininlärning;

    Sammanfattning : There are many machine learning techniques that cannot be performed on graph-data. Techniques such as graph embedding, i.e mapping a graph to a vector, can open up a variety of machine learning solutions. LÄS MER

  3. 3. Towards Learning for System Behavior

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

    Författare :Liangcheng Yu; [2019]
    Nyckelord :;

    Sammanfattning : Traditional network management typically relies on clever heuristics to capture thecharacteristics of environments, workloads in order to derive an accurate model.While such methodology has served us well in early days, it is challenged by thegrowing intricacies of modern network design from various dimensions: the rocketingtraffic volumn, proliferation of software applications and varied hardware, higheruser-specific Quality of Experience (QoE) requirements with respect to bandwidthand latencies, overwhelming number of knobs and configurations and so forth. LÄS MER

  4. 4. Reinforcement Learning– Intelligent Weighting of Monte Carlo and Temporal Differences

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Martin Christiansson; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In Reinforcement learning the updating of the value functions determines the information spreading across the state/state-action space which condenses the valuebased control policy. It is important to have an information propagation across the value domain in a manner that is effective. LÄS MER

  5. 5. Deep Reinforcement Learning for Adaptive Human Robotic Collaboration

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

    Författare :Johan Fredin Haslum; [2019]
    Nyckelord :;

    Sammanfattning : Robots are expected to become an increasingly common part of most humans everyday lives. As the number of robots increase, so will also the number of human-robot interactions. For these interactions to be valuable and intuitive, new advanced robotic control policies will be necessary. LÄS MER