Robust planning with incomplete domain models

By Tuan Anh Nguyen, Sarath Sreedharan, Subbarao Kambhampati. 2017

38 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Subbarao Kambhampati
2. Sarath Sreedharan
3. Tathagata Chakraborti
4. Sergio Jiménez
5. Eva Onaindia
6. Diego Aineto
7. Miquel Ramírez

Citations in the corpus

• Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation (2018, methodology): “Such models turn out to be especially useful for the representation and learning of human (mental) models from observations, where uncertainty after the learning process can be represented in terms of model annotations as in (Nguyen, Sreedharan, and Kambhampati 2017; Bryce, Benton, and Boldt 2016).”