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Ryan Self

6 papers hereh-index 6149 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.SY6

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedOnline Observer-Based Inverse Reinforcement Learning

33 citations · 67 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.SY2020

Switched Optimal Control and Dwell Time Constraints: A Preliminary Study

Moad Abudia, Michael Harlan, Ryan Self +1

Most modern control systems are switched, meaning they have continuous as well as discrete decision variables. Switched systems often have constraints called dwell-time constraints…

eess.SY2020★ 33 cited

Online Observer-Based Inverse Reinforcement Learning

Ryan Self, Kevin Coleman, He Bai +1

In this paper, a novel approach to the output-feedback inverse reinforcement learning (IRL) problem is developed by casting the IRL problem, for linear systems with quadratic cost…

eess.SY2020

Online inverse reinforcement learning with limited data

Ryan Self, S M Nahid Mahmud, Katrine Hareland +1

This paper addresses the problem of online inverse reinforcement learning for systems with limited data and uncertain dynamics. In the developed approach, the state and control tra…

eess.SY2020★ 27 cited

Online inverse reinforcement learning with unknown disturbances

Ryan Self, Moad Abudia, Rushikesh Kamalapurkar

This paper addresses the problem of online inverse reinforcement learning for nonlinear systems with modeling uncertainties while in the presence of unknown disturbances. The devel…

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