| Stability of Controllers for Gaussian Process Forward Models J Vinogradska, B Bischoff, D Nguyen-Tuong, H Schmidt, A Romer, ... Proceedings of The 33rd International Conference on Machine Learning, 545-554, 2016 | 52 | 2016 |
| Transfer learning with gaussian processes for bayesian optimization P Tighineanu, K Skubch, P Baireuther, A Reiss, F Berkenkamp, ... International Conference on Artificial Intelligence and Statistics, 6152-6181, 2022 | 36 | 2022 |
| Noisy-input entropy search for efficient robust Bayesian optimization L Fröhlich, E Klenske, J Vinogradska, C Daniel, M Zeilinger International Conference on Artificial Intelligence and Statistics, 2262-2272, 2020 | 34 | 2020 |
| Stability of controllers for Gaussian process dynamics J Vinogradska, B Bischoff, D Nguyen-Tuong, J Peters Journal of Machine Learning Research 18 (100), 1-37, 2017 | 26 | 2017 |
| Numerical quadrature for probabilistic policy search J Vinogradska, B Bischoff, J Achterhold, T Koller, J Peters IEEE transactions on pattern analysis and machine intelligence 42 (1), 164-175, 2018 | 15 | 2018 |
| Model-based uncertainty in value functions CE Luis, AG Bottero, J Vinogradska, F Berkenkamp, J Peters International Conference on Artificial Intelligence and Statistics, 8029-8052, 2023 | 10 | 2023 |
| Information-theoretic safe exploration with Gaussian processes A Bottero, C Luis, J Vinogradska, F Berkenkamp, JR Peters Advances in Neural Information Processing Systems 35, 30707-30719, 2022 | 8 | 2022 |
| Value-Distributional Model-Based Reinforcement Learning CE Luis, AG Bottero, J Vinogradska, F Berkenkamp, J Peters Journal of Machine Learning Research 25 (298), 1-42, 2024 | 3 | 2024 |
| Approximate value iteration based on numerical quadrature J Vinogradska, B Bischoff, J Peters IEEE Robotics and Automation Letters 3 (2), 1330-1337, 2018 | 3 | 2018 |
| Gaussian processes in reinforcement learning: Stability analysis and efficient value propagation J Vinogradska Technische Universität Darmstadt, 2018 | 3 | 2018 |
| Information-Theoretic Safe Bayesian Optimization AG Bottero, CE Luis, J Vinogradska, F Berkenkamp, J Peters arXiv preprint arXiv:2402.15347, 2024 | 2 | 2024 |
| Scalable Meta-Learning with Gaussian Processes P Tighineanu, L Grossberger, P Baireuther, K Skubch, S Falkner, ... International Conference on Artificial Intelligence and Statistics, 1981-1989, 2024 | 1 | 2024 |
| Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability CE Luis, AG Bottero, J Vinogradska, F Berkenkamp, J Peters arXiv preprint arXiv:2409.16824, 2024 | | 2024 |
| Device and method for controlling a robot AG Bottero, CEL Goncalves, F Berkenkamp, J Peters, J Vinogradska US Patent App. 18/508,104, 2024 | | 2024 |
| Dynamics model for globally stable modeling of system dynamics G Manek, JZ Kolter, J Vinogradska US Patent 11,886,782, 2024 | | 2024 |
| Constrained controlling of a computer-controlled system AG Bottero, CEL Goncalves, F Berkenkamp, J Peters, J Vinogradska US Patent App. 18/331,751, 2024 | | 2024 |
| Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization CE Luis, AG Bottero, J Vinogradska, F Berkenkamp, J Peters arXiv preprint arXiv:2312.04386, 2023 | | 2023 |
| Method and device for setting at least one parameter of an actuator control system, actuator control system and data set B Bischoff, J Vinogradska, J Peters US Patent 11,669,070, 2023 | | 2023 |
| System, device, and method for controlling a physical or chemical process P Tighineanu, A Reiss, F Berkenkamp, J Vinogradska, K Skubch, ... US Patent App. 17/950,542, 2023 | | 2023 |
| Method and device for setting at least one parameter of an actuator control system and actuator control system B Bischoff, J Vinogradska, J Peters US Patent 11,550,272, 2023 | | 2023 |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIBestätigte E-Mail-Adresse bei ias.tu-darmstadt.de
