The variance-penalized stochastic shortest path problem

@inproceedings{Piribauer2022TheVS,
  title={The variance-penalized stochastic shortest path problem},
  author={Jakob Piribauer and Ocan Sankur and Christel Baier},
  booktitle={International Colloquium on Automata, Languages and Programming},
  year={2022}
}
The stochastic shortest path problem (SSPP) asks to resolve the non-deterministic choices in a Markov decision process (MDP) such that the expected accumulated weight before reaching a target state is maximized. This paper addresses the optimization of the variance-penalized expectation (VPE) of the accumulated weight, which is a variant of the SSPP in which a multiple of the variance of accumulated weights is incurred as a penalty. It is shown that the optimal VPE in MDPs with non-negative… 

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