Reinforcement learning for spin torque oscillator tasks
Abstract
Abstract We address the problem of automatic synchronisation of the spintronic oscillator (STO) by means of reinforcement learning (RL). A numerical solution of the macrospin Landau-Lifschitz-Gilbert-Slonczewski equation is used to simulate the STO and we train the two types of RL agents to synchronise with a target frequency within a fixed number of steps. We explore modifications to this base task and show an improvement in both convergence and energy efficiency of the synchronisation that can be easily achieved in the simulated environment.
Fields of Study & Subjects
Magnetic properties of thin films
Reinforcement Learning in Robotics
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- Journal of Physics Conference Series
- Volume
- 3161
- Issue
- 1
- Pages
- 012025–012025
- Publication date
- 1 January 2026
- Language
- EN