activity
20182026
most citedHierarchical Finite State Machines for Efficient Optimal Planning in Large-scale Systems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

stat.ML2026

Distributionally robust linear regression through the lens of adversarial training

Elis Stefansson, David Vävinggren, Antônio H. Ribeiro

Distributionally robust optimization (DRO) studies parameter estimation under uncertainty in the underlying probability distribution and has emerged as a principled framework for a…

cs.DS2025

Faster shortest-path algorithms using the acyclic-connected tree

Elis Stefansson, Oliver Biggar, Karl H. Johansson

We provide a method to obtain beyond-worst-case time complexity for any single-source-shortest-path (SSSP) algorithm by exploiting modular structures in graphs. The key novelty is…

eess.SY2025

Efficient Planning in Large-scale Systems Using Hierarchical Finite State Machines

Elis Stefansson, Karl H. Johansson

We consider optimal planning in a large-scale system formalised as a hierarchical finite state machine (HFSM). A planning algorithm is proposed computing an optimal plan between an…

eess.SY2023

Efficient and Reconfigurable Optimal Planning in Large-Scale Systems Using Hierarchical Finite State Machines

Elis Stefansson, Karl H. Johansson

In this paper, we consider a planning problem for a large-scale system modelled as a hierarchical finite state machine (HFSM) and develop a control algorithm for computing optimal…

eess.SY2022★ 1 cited

Hierarchical Finite State Machines for Efficient Optimal Planning in Large-scale Systems

Elis Stefansson, Karl H. Johansson

In this paper, we consider a planning problem for a hierarchical finite state machine (HFSM) and develop an algorithm for efficiently computing optimal plans between any two states…

eess.SY2021

Computing Complexity-aware Plans Using Kolmogorov Complexity

Elis Stefansson, Karl H. Johansson

In this paper, we introduce complexity-aware planning for finite-horizon deterministic finite automata with rewards as outputs, based on Kolmogorov complexity. Kolmogorov complexit…

cs.RO2018

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3

The actions of an autonomous vehicle on the road affect and are affected by those of other drivers, whether overtaking, negotiating a merge, or avoiding an accident. This mutual de…