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Anders Jonsson

24 papers hereh-index 262.2k citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author12
  • last author10

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.AI11
  • cs.LG8
  • cs.NI3
  • eess.SY1
  • stat.AP1
same name
  • Anders Jonsson — 7 papers, h 0
  • Anders Jonsson — 4 papers, h 3
  • Anders Jonsson — 3 papers, h 1
  • Anders Jonsson — 2 papers, h 1
  • Anders Jonsson — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedA unified view of entropy-regularized Markov decision processes

98 citations · 127 across the 10 of their papers we have counts for

collaborators
Showing 2019 · cs.AIShow all

4 papers · 2 filters

cs.AI2019

Generalized Planning with Positive and Negative Examples

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Generalized planning aims at computing an algorithm-like structure (generalized plan) that solves a set of multiple planning instances. In this paper we define negative examples fo…

cs.AI2019★ 12 cited

Hierarchical Finite State Controllers for Generalized Planning

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Finite State Controllers (FSCs) are an effective way to represent sequential plans compactly. By imposing appropriate conditions on transitions, FSCs can also represent generalized…

cs.AI2019★ 6 cited

Generalized Planning With Procedural Domain Control Knowledge

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Generalized planning is the task of generating a single solution that is valid for a set of planning problems. In this paper we show how to represent and compute generalized plans…

cs.AI2019

Solving Multiagent Planning Problems with Concurrent Conditional Effects

Daniel Furelos-Blanco, Anders Jonsson

In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.