Sökning: "Axel Grönland"

Hittade 1 uppsats innehållade orden Axel Grönland.

  1. 1. Robust Reinforcement Learning in Continuous Action/State Space

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

    Författare :Axel Grönland; Viktor Eriksson Möllerstedt; [2020]
    Nyckelord :Robust Reinforcement Learning; Neural Net-work; Dynamical Systems; TD Learning;

    Sammanfattning : In this project we aim to apply Robust Reinforce-ment Learning algorithms, presented by Doya and Morimoto [1],[2], to control problems. Specifically, we train an agent to balancea pendulum in the unstable equilibrium, which is the invertedstate.We investigate the performance of controllers based on twodifferent function approximators. LÄS MER