Cost Partitioning for Multi-agent Planning. - Michal Stolba; Michaela Urbanovská; Daniel Fiser; Antonín Komenda (ICAART (2), 2019)

A General Approach to Distributed and Privacy-Preserving Heuristic Computation. - Michal Stolba; Michaela Urbanovská; Daniel Fiser; Antonín Komenda (ICAART (Revised Selected Papers), 2019)

Neural networks for model-free and scale-free automated planning. - Michaela Urbanovská; Antonín Komenda (Knowl. Inf. Syst., 2021)

Learning Heuristic Estimates for Planning in Grid Domains by Cellular Simultaneous Recurrent Networks. - Michaela Urbanovská; Antonín Komenda (ICAART (2), 2022)

Grid Representation in Neural Networks for Automated Planning. - Michaela Urbanovská; Antonín Komenda (ICAART (3), 2022)

Privacy leakage of search-based multi-agent planning algorithms. - Michal Stolba; Michaela Urbanovská; Antonín Komenda (Auton. Agents Multi Agent Syst., 2022)

Semantically Layered Representation for Planning Problems and Its Usage for Heuristic Computation Using Cellular Simultaneous Recurrent Neural Networks. - Michaela Urbanovská; Antonín Komenda (ICAART (3), 2023)

Analysis of Learning Heuristic Estimates for Grid Planning with Cellular Simultaneous Recurrent Networks. - Michaela Urbanovská; Antonín Komenda (SN Comput. Sci., 2023)

Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning. - Michaela Urbanovská; Antonín Komenda (ICAART (3), 2024)