2026conference

Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees

Ryohei Oura, Georgios Fainekos, Hideki Okamoto, Bardh Hoxha

Conference on Uncertainty in Artificial Intelligence (UAI), 2026

Oral Presentation (Top 2%)

Topics: Risk and Stochasticity; Learning-based Control and Analysis; Verification and Reachability

Citation

@inproceedings{Oura26-CausalMDP,
  title = {Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees},
  author = {Ryohei Oura and Georgios Fainekos and Hideki Okamoto and Bardh Hoxha},
  booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI), 2026},
  year = {2026},
  award = {Oral Presentation (Top 2%)},
  url = {https://arxiv.org/abs/2606.29681},
  keywords = {Risk and Stochasticity, Learning-based Control and Analysis, Verification and Reachability}
}