Marika Ivanová

According to our database1, Marika Ivanová authored at least 12 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Coordinated Collision-free Movement of Groups of Agents.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
From Classical to Colored Multi-Agent Path Finding.
Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Adversarial Multi-Agent Path Finding is Intractable.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Colored Multi-Agent Path Finding: Solving Approaches.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2019
Integer programming formulations for the shared multicast tree problem.
J. Comb. Optim., 2019

2018
Area Protection in Adversarial Path-finding Scenarios with Multiple Mobile Agents on Graphs - A Theoretical and Experimental Study of Strategies for Defense Coordination.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Maintaining Ad-Hoc Communication Network in Area Protection Scenarios with Adversarial Agents.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
Area Protection in Adversarial Path-Finding Scenarios with Multiple Mobile Agents on Graphs: a theoretical and experimental study of target-allocation strategies for defense coordination.
CoRR, 2017

2016
The Shared Broadcast Tree Problem and MST.
Electron. Notes Discret. Math., 2016

Shared Multicast Trees in Ad Hoc Wireless Networks.
Proceedings of the Combinatorial Optimization - 4th International Symposium, 2016

2014
Adversarial Cooperative Path-Finding: Complexity and Algorithms.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013
Adversarial Cooperative Path-Finding: A First View.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013


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