Robust probabilistic temporal logics

Abstract. Markov decision processes (MDPs) are a standard model for sequential decision-making problems and are widely used across many.







Robust Markov Decision Processes: A Place Where AI and Formal ...
Badings, T., Simão, T.D., Suilen, M., Jansen, N.: Decision-making under uncer- tainty: beyond probabilities. Int. J. Softw. Tools Technol ...
Efficient Sensitivity Analysis for Parametric Robust Markov Chains
Badings, M. Volk, S. Junges, M. Stoelinga, N. Jansen state of the CTMC on the evidence. For example, ?what is the probability of a failure ...
Decision-Making Under Uncertainty (Meets Neurosymbolic AI)
Thom S. Badings, Thiago D. Sim?o, Marnix Suilen, Nils Jansen: Decision-making under uncertainty: beyond probabilities. Int.



Autres Cours:

Certifiably Robust Policies for Uncertain Parametric Environments