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eess.SY2026
Continuous-Time Critic as a Lyapunov Function: Projected Adaptation and Cart-Pole Stabilization
Pavel Osinenko
We study adaptive stabilization of known control-affine systems by treating the current parameterized critic itself as a Lyapunov candidate. Its total derivative contains a paramet…
eess.SY2022
A stabilizing reinforcement learning approach for sampled systems with partially unknown models
Lukas Beckenbach, Pavel Osinenko, Stefan Streif
Reinforcement learning is commonly associated with training of reward-maximizing (or cost-minimizing) agents, in other words, controllers. It can be applied in model-free or model-…
eess.SY2022
A framework for online, stabilizing reinforcement learning
Grigory Yaremenko, Georgiy Malaniya, Pavel Osinenko
Online reinforcement learning is concerned with training an agent on-the-fly via dynamic interaction with the environment. Here, due to the specifics of the application, it is not…