| 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 | 18 | 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 | 12 | 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 | 8 | 2024 |
| Analysis of a two species TASEP as a model for heterogeneous transport on microtubules A Bottero, E Frey Theoretical and Mathematical Physics, 2017 | 3 | 2017 |
| 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 | 2 | 2024 |
| Information-theoretic safe bayesian optimization AG Bottero, CE Luis, J Vinogradska, F Berkenkamp, J Peters arXiv preprint arXiv:2402.15347, 2024 | 2 | 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 | 2 | 2023 |
| 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 |
| 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 |
