Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks

This is a research prototype to enable visual analysis of episodes from the Flatland environment. The aim of the visualization is to help developers/researchers analyze the scheduling behavior of their technique. The visualization would also be helpful for evaluators of the competition where AI agents are usually compared across several episodes. We invite the Flatland community members to use the prototype and explore the different scheduling behaviors. Please feel free to contact us and share your experience of using the prototype. Also, please report any bugs you find in the tool.

Shivam Agarwal
University of Duisburg-Essen, Germany