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Inverse Reinforcement Learning: A Control Lyapunov Approach
v1v2v3 (latest)

Inverse Reinforcement Learning: A Control Lyapunov Approach

IEEE Conference on Decision and Control (CDC), 2021
9 April 2021
Samuel Tesfazgi
Armin Lederer
Sandra Hirche
ArXiv (abs)PDFHTML

Papers citing "Inverse Reinforcement Learning: A Control Lyapunov Approach"

5 / 5 papers shown
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Samuel Tesfazgi
Leonhard Sprandl
Sandra Hirche
AAML
264
0
0
03 Apr 2025
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov
  Landscapes
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
Samuel Tesfazgi
Leonhard Sprandl
Armin Lederer
Sandra Hirche
169
4
0
14 May 2024
Automated Feature Selection for Inverse Reinforcement Learning
Automated Feature Selection for Inverse Reinforcement Learning
Daulet Baimukashev
G. Alcan
Ville Kyrki
298
3
0
22 Mar 2024
Cross apprenticeship learning framework: Properties and solution
  approaches
Cross apprenticeship learning framework: Properties and solution approaches
A. Aravind
Debasish Chatterjee
A. Cherukuri
214
0
0
06 Sep 2022
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
Nicolas Hoischen
Johannes Kirmayr
Roland Toth
Sandra Hirche
259
10
0
15 Oct 2021
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