Learning and Control Strategies for Cyber-physical Systems: From Wireless 
Control over Deep Reinforcement Learning to Causal Identification

Baumann, Dominik

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Thesis

Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification

MPS-Authors

/persons/resource/persons232796

Baumann, Dominik
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
KTH Royal Institute of Technology, Stockholm, Schweden;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Baumann, D. (2020). Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification. PhD Thesis, KTH Royal Institute of Technology, Stockholm.

Cite as: https://hdl.handle.net/21.11116/0000-0008-5143-1

Abstract

There is no abstract available