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Found 3 papers, 1 papers with code
Pilot Performance modeling via observer-based inverse reinforcement learning
The observer is shown to converge to one of the equivalent solutions of the IRL problem.
Fault Detection via Occupation Kernel Principal Component Analysis
The reliable operation of automatic systems is heavily dependent on the ability to detect faults in the underlying dynamical system.
Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning
A key challenge in solving the deterministic inverse reinforcement learning (IRL) problem online and in real-time is the existence of multiple solutions.
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