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Ryan V. Self

Orcid: 0000-0001-8752-6299

Affiliations:
  • Oklahoma State University, School of Mechanical and Aerospace Engineering, Stillwater, OK, USA


According to our database1, Ryan V. Self authored at least 10 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2022
Model-based inverse reinforcement learning for deterministic systems.
[BibTeX]
[DOI]
Ryan Self
,
Moad Abudia
,
S. M. Nahid Mahmud
,
Rushikesh Kamalapurkar
Autom., 2022

2021
Online Observer-Based Inverse Reinforcement Learning.
[BibTeX]
[DOI]
Ryan Self
,
Kevin Coleman
,
He Bai
,
Rushikesh Kamalapurkar
IEEE Control. Syst. Lett., 2021

2020
A safety aware model based reinforcement learning framework for systems with uncertainties.
[BibTeX]
[DOI]
S. M. Nahid Mahmud
,
Ryan Self
,
Katrine Hareland
,
Rushikesh Kamalapurkar
CoRR, 2020

Online inverse reinforcement learning with unknown disturbances.
[BibTeX]
[DOI]
Ryan Self
,
Moad Abudia
,
Rushikesh Kamalapurkar
CoRR, 2020

Online inverse reinforcement learning with limited data.
[BibTeX]
[DOI]
Ryan Self
,
S. M. Nahid Mahmud
,
Katrine Hareland
,
Rushikesh Kamalapurkar
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Switched Optimal Control and Dwell Time Constraints: A Preliminary Study.
[BibTeX]
[DOI]
Moad Abudia
,
Michael Harlan
,
Ryan Self
,
Rushikesh Kamalapurkar
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Online inverse reinforcement learning for systems with disturbances.
[BibTeX]
[DOI]
Ryan Self
,
Moad Abudia
,
Rushikesh Kamalapurkar
Proceedings of the 2020 American Control Conference, 2020

2019
Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation.
[BibTeX]
[DOI]
Sandesh Thapa
,
Ryan V. Self
,
Rushikesh Kamalapurkar
,
He Bai
IEEE Control. Syst. Lett., 2019

Online inverse reinforcement learning for nonlinear systems.
[BibTeX]
[DOI]
Ryan Self
,
Michael Harlan
,
Rushikesh Kamalapurkar
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems.
[BibTeX]
[DOI]
Ryan Self
,
Michael Harlan
,
Rushikesh Kamalapurkar
Proceedings of the 2019 American Control Conference, 2019


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