Jendrik Seipp

About Jendrik Seipp

Jendrik Seipp, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Linköpings Universitet, specializes in the field of Artificial Intelligence, Automated Planning, Machine Learning, Heuristic Search.

His recent articles reflect a diverse array of research interests and contributions to the field:

Numeric Reward Machines

Consolidating LAMA with Best-First Width Search

The 2023 International Planning Competition

Versatile Cost Partitioning with Exact Sensitivity Analysis

Efficiently Computing Transitions in Cartesian Abstractions

PARIS 2023: Planning Algorithms for Reconfiguring Independent Sets

Eliminating redundant actions from plans using classical planning

Learning hierarchical policies by iteratively reducing the width of sketch rules

Jendrik Seipp Information

University

Position

___

Citations(all)

1258

Citations(since 2020)

809

Cited By

699

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

33

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Jendrik Seipp Skills & Research Interests

Artificial Intelligence

Automated Planning

Machine Learning

Heuristic Search

Top articles of Jendrik Seipp

Numeric Reward Machines

arXiv preprint arXiv:2404.19370

2024/4/30

Nikolaos Pappas
Nikolaos Pappas

H-Index: 21

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Consolidating LAMA with Best-First Width Search

arXiv preprint arXiv:2404.17648

2024/4/26

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Versatile Cost Partitioning with Exact Sensitivity Analysis

2024/3/6

Efficiently Computing Transitions in Cartesian Abstractions

2024

Jendrik Seipp
Jendrik Seipp

H-Index: 13

PARIS 2023: Planning Algorithms for Reconfiguring Independent Sets

Core Challenge 2023 Solver and Graph Descriptions

2023/10

Eliminating redundant actions from plans using classical planning

2023/8/1

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Learning hierarchical policies by iteratively reducing the width of sketch rules

2023/7/9

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Hector Geffner
Hector Geffner

H-Index: 33

Finding matrix multiplication algorithms with classical planning

Proceedings of the International Conference on Automated Planning and Scheduling

2023/7/1

PARIS: Planning algorithms for reconfiguring independent sets

2023/4/13

Sensitivity Analysis for Saturated Post-hoc Optimization in Classical Planning

2023

David Speck
David Speck

H-Index: 5

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Fast Downward Stone Soup 2023

2023

Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning

2023

Jendrik Seipp
Jendrik Seipp

H-Index: 13

The Powerlifted Planning System in the IPC 2023

Tenth International Planning Competition (IPC-10): Planner Abstracts

2023

Levitron: Combining Ground and Lifted Planning

Tenth International Planning Competition (IPC-10): Planner Abstracts

2023

Spock: Fast Downward Stone Soup with Redundant Action Elimination

2023

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Scorpion 2023

Tenth International Planning Competition (IPC-10): Planner Abstracts

2023

Jendrik Seipp
Jendrik Seipp

H-Index: 13

DLPlan: Description Logics State Features for Planning

2023

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Learning General Policies and Helpful Action Classifiers from Partial State Spaces

Sixth Workshop on Generalization in Planning at IJCAI-ECAI 2022

2022/7/23

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Explainable planner selection for classical planning

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Patrick Ferber
Patrick Ferber

H-Index: 3

Jendrik Seipp
Jendrik Seipp

H-Index: 13

See List of Professors in Jendrik Seipp University(Linköpings Universitet)

Co-Authors

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