Ryan V. Self

According to our database, Ryan V. Self authored at least 9 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Online Observer-Based Inverse Reinforcement Learning.

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.

S. M. Nahid Mahmud, Ryan Self, Katrine Hareland, Rushikesh Kamalapurkar

CoRR, 2020

Online inverse reinforcement learning with unknown disturbances.

Ryan Self, Moad Abudia, Rushikesh Kamalapurkar

CoRR, 2020

Online inverse reinforcement learning with limited data.

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.

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.

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.

Sandesh Thapa, Ryan V. Self, Rushikesh Kamalapurkar, He Bai

IEEE Control. Syst. Lett., 2019

Online inverse reinforcement learning for nonlinear systems.

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.

Ryan Self, Michael Harlan, Rushikesh Kamalapurkar

Proceedings of the 2019 American Control Conference, 2019