Sökning: "Viktor Eriksson Möllerstedt"
Hittade 2 uppsatser innehållade orden Viktor Eriksson Möllerstedt.
1. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. LÄS MER
2. Robust Reinforcement Learning in Continuous Action/State Space
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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