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Nr. Titel Autor Jahr
1 Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems With Known Optimal Policies Ibrahim, Sinan et al. 2026
2 Generating Informative Benchmarks for Reinforcement Learning Yamerenko, Grigory et al. 2025
3 Reinforcement Learning with Guarantees Osinenko, Pavel 2025
4 A stabilizing reinforcement learning approach for sampled systems with partially unknown models Beckenbach, Lukas et al. 2024
5 Some remarks on practical stabilization via CLF-based control under measurement noise Schmidt, Patrick et al. 2024
6 Some Remarks on Robustness of Sample-and-Hold Stabilization Schmidt, Patrick et al. 2024
7 Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in 'Braeburn' apples Osinenko, Pavel et al. 2021
8 Experimental verification of an online traction parameter identification method Kobelski, Alexander et al. 2021
9 On inf-convolution-based robust practical stabilization under computational uncertainty Schmidt, Patrick et al. 2021
10 A method of online traction parameter identification and mapping Kobelski, Alexander* et al. 2020
11 A Q-learning predictive control scheme with guaranteed stability Beckenbach, Lukas et al. 2020
12 A reinforcement learning method with closed-loop stability guarantee Osinenko, Pavel* et al. 2020
13 A reinforcement learning method with closed-loop stability guarantee for systems with unknown parameters Göhrt, Thomas* et al. 2020
14 Constructive Analysis of Eigenvalue Problems in Control under Numerical Uncertainty Osinenko, Pavel* et al. 2020
15 Nonsmooth stabilization and its computational aspects Osinenko, Pavel* et al. 2020
16 On closed-loop stability of model predictive controllers with learning costs Beckenbach, Lukas* et al. 2020
17 On constructive extractability of measurable selectors of set-valued maps Osinenko, Pavel et al. 2020
18 Optimal control of centrifugal spreader Rußwurm, Franz* et al. 2020
19 Adaptive actor-critic structure for parametrized controllers Göhrt, Thomas et al. 2019
20 Adaptive Dynamic Programming Using Lyapunov Function Constraints Göhrt, Thomas et al. 2019
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