Antonín Komenda

About Antonín Komenda

Antonín Komenda, With an exceptional h-index of 19 and a recent h-index of 11 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of artificial intelligence, multi-agent systems, automated planning.

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

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Analysis of Learning Heuristic Estimates for Grid Planning with Cellular Simultaneous Recurrent Networks

Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques

Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks.

Privacy leakage of search-based multi-agent planning algorithms

A Differentiable Loss Function for Learning Heuristics in A

Grid Representation in Neural Networks for Automated Planning.

Learning Heuristic Estimates for Planning in Grid Domains by Cellular Simultaneous Recurrent Networks.

Antonín Komenda Information

University

Position

FEE

Citations(all)

1084

Citations(since 2020)

479

Cited By

762

hIndex(all)

19

hIndex(since 2020)

11

i10Index(all)

38

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Antonín Komenda Skills & Research Interests

artificial intelligence

multi-agent systems

automated planning

Top articles of Antonín Komenda

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Advances in Neural Information Processing Systems

2024/2/13

Analysis of Learning Heuristic Estimates for Grid Planning with Cellular Simultaneous Recurrent Networks

SN Computer Science

2023/9/27

Antonín Komenda
Antonín Komenda

H-Index: 12

Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques

2023/9/5

Antonín Komenda
Antonín Komenda

H-Index: 12

Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks.

2023

Antonín Komenda
Antonín Komenda

H-Index: 12

Privacy leakage of search-based multi-agent planning algorithms

Autonomous Agents and Multi-Agent Systems

2022/10

Michal Štolba
Michal Štolba

H-Index: 11

Antonín Komenda
Antonín Komenda

H-Index: 12

A Differentiable Loss Function for Learning Heuristics in A

arXiv preprint arXiv:2209.05206

2022/9/12

Grid Representation in Neural Networks for Automated Planning.

2022

Antonín Komenda
Antonín Komenda

H-Index: 12

Learning Heuristic Estimates for Planning in Grid Domains by Cellular Simultaneous Recurrent Networks.

2022

Antonín Komenda
Antonín Komenda

H-Index: 12

Heuristic search planning with deep neural networks using imitation, attention and curriculum learning

arXiv preprint arXiv:2112.01918

2021/12/3

Neural networks for model-free and scale-free automated planning

Knowledge and Information Systems

2021/12

Antonín Komenda
Antonín Komenda

H-Index: 12

Strengthening potential heuristics with mutexes and disambiguations

Proceedings of the International Conference on Automated Planning and Scheduling

2020/6/1

Rostislav Horčík
Rostislav Horčík

H-Index: 9

Antonín Komenda
Antonín Komenda

H-Index: 12

Secure Multi-agent Planning via Sharemind.

2020

Antonín Komenda
Antonín Komenda

H-Index: 12

Model-free automated planning using neural networks

Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) of the International Conference on Automated Planning and Scheduling

2020

See List of Professors in Antonín Komenda University(Ceské vysoké ucení technické v Praze)

Co-Authors

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