ShortestPathLab / Posthoc
Understand decision-making in search
Posthoc is a way to create simple and effective visualisations from logs to help you understand intuitively explore sequential decision-making processes.
Best system demonstration at ICAPS 24
Posthoc received the best system demonstration award at The 34th International Conference on Automated Planning and Scheduling (ICAPS 24).
We're extremely grateful to receive this recognition and support from the search and planning community.
Built with passion by ShortestPathLab @ Monash University
Kevin Zheng
Dept. of Data Science & AI
Daniel Harabor
Dept. of Data Science & AI
Michael Wybrow
Dept. of Human Centred Computing
Posthoc was a multi-year project made possible by the hard work and dedication from many student contributors.
Francis Anthony
Karan Batta
Evelyn Huang
Bennett Madavana
Rory Tobin-Underwood
Jay Wingate
Leo Whitehead
Can Wang
We also thank the following people for their many helpful suggestions, feedback, and support.
Mike Chen
Yue Zhang
Thomas Nobes
Ryan Hechenberger
Mark Carlson
Andy Li
Jayden Filipi
Bojie Shen
Shizhe Zhao
Jason Nyugen
Jonathan Morag
Cole Peeters
Julian Lee
Tim Wang
