Understanding Explainable Multi Agent Path Finding

Exploring Explainable Multi Agent Path Finding reveals several interesting facts. Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "

Key Takeaways about Explainable Multi Agent Path Finding

  • RBE 550: Motion
  • This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ...
  • Theta* for geometric
  • Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI http://aium2021.felk.cvut.cz/ Jonathan Morag, Roni ...
  • This is a poster teaser talk for the paper "A Hierarchical Approach to

Detailed Analysis of Explainable Multi Agent Path Finding

Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “ J. Kottinger, S. Almagor, and M. Lahijanian, “Conflict-Based Search for AAMAS 2020 Presentation of the paper "

The video that describes my research about the Real Time

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