Sökning: "temporal-difference learning"

Hittade 3 avhandlingar innehållade orden temporal-difference learning.

  1. 1. Cognition reversed : Robot learning from demonstration

    Författare :Erik Billing; Lars Erik Janlert; Thomas Hellström; Tom Ziemke; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datavetenskap; Cognitive science; Kognitionsvetenskap; computer and systems sciences; data- och systemvetenskap;

    Sammanfattning : The work presented in this thesis investigates techniques for learning from demonstration (LFD). LFD is a well established approach to robot learning, where a teacher demonstrates a behavior to a robot pupil. This thesis focuses on LFD where a human teacher demonstrates a behavior by controlling the robot via teleoperation. LÄS MER

  2. 2. Reinforcement Learning Using Local Adaptive Models

    Författare :Magnus Borga; Linköpings universitet; []
    Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : In this thesis, the theory of reinforcement learning is described and its relation to learning in biological systems is discussed. Some basic issues in reinforcement learning, the credit assignment problem and perceptual aliasing, are considered. The methods of temporal difference are described. LÄS MER

  3. 3. Markov Decision Problems in ATM Traffic Control

    Författare :Ernst Nordström; Lars Asplund; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Systems; Datorteknik;

    Sammanfattning : This thesis discusses how to make cost-effective use of the communication resources in the Broadband Integrated Services Digital Network (B-ISDN), which is based on the Asynchronous Transfer Mode (ATM) switching and multiplexing technique.The thesis deals with two important functions in ATM traffic control, namely Call Admission Control (CAC) and routing, which affects both the network operator's revenue over time and the users' Quality of Service (QOS) and Grade of Service (GOS). LÄS MER