Towards practical reinforcement learning for tokamak magnetic control.
Brendan D. TraceyAndrea MichiYuri ChervonyiIan DaviesCosmin PaduraruNevena LazicFederico FeliciTimo EwaldsCraig DonnerCristian GalpertiJonas BuchliMichael NeunertAndrea HuberJonathan EvensPaula KurylowiczDaniel J. MankowitzMartin A. RiedmillerThe TCV TeamPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- control problems
- optimal control
- robot control
- robotic control
- control policy
- control system
- function approximation
- learning algorithm
- adaptive control
- model free
- control method
- practical application
- control strategy
- multi agent
- fuzzy logic
- case study
- multi agent reinforcement learning
- real world
- permanent magnet