PrimaVera Demonstrators
- Infrastructure Demonstrator – PrimaVera is developing a web app that showcases research applications in diagnostics, prognostics, and maintenance policy optimization and logistics. The work-in-progress web application can be visited via the link above.
List of scientific publications
2023 |
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18. | A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning. In: Neural Computing and Applications, 2023. | :
17. | Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. In: ICAPS, pp. 212-220, 2023. | :
16. | Decision-making under uncertainty: beyond probabilities. Challenges and Perspectives. In: STTT, 2023. | :
15. | More for Less: Safe Policy Improvement with Stronger Performance Guarantees. In: IJCAI, pp. 4406–4415, 2023. | :
14. | Reinforcement Learning by Guided Safe Exploration. In: ECAI, 2023. | :
13. | Risk-aware Curriculum Generation for Heavy-tailed Task Distributions. In: UAI, pp. 1132–1142, 2023. | :
12. | Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions. In: Journal of Artificial Intelligence Research (to appear), pp. 1–29, 2023. | :
11. | Safe Policy Improvement for POMDPs via Finite-State Controllers. In: AAAI, 2023. | :
10. | Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. In: ICLR, 2023. | :
9. | Safe Reinforcement Learning via Shielding for POMDPs. In: To be presented at AAAI 2023, 2023. | :
8. | Scalable Safe Policy Improvement via Monte Carlo Tree Search. In: ICML, pp. 3732–3756, 2023. | :
7. | Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. In: ICAART, pp. 501–508, 2023. | :
2022 |
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6. | Automatic inference of fault tree models via multi-objective evolutionary algorithms. In: IEEE Transactions on Dependable and Secure Computing, pp. 1-12, 2022. | :
5. | Data-Driven Inference of Fault Tree Models Exploiting Symmetry and Modularization. In: International Conference on Computer Safety, Reliability, and Security, pp. 46–61, Springer 2022. | :
4. | Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks. In: International Conference on Agents and Artificial Intelligence (ICAART), 2022. | :
3. | Robust Anytime Learning of Markov Decision Processes. In: NeurIPS, 2022. | :
2. | Safety-constrained reinforcement learning with a distributional safety critic. In: Machine Learning, pp. 1–29, 2022. | :
2021 |
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1. | AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training. In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), pp. 1226-1235, IFAAMAS, 2021. | :