gmid2

• graphical models for influence diagrams
• Junkyu Lee, Radu Marinescu, and Rina Dechter. "Submodel Decomposition Bounds for Influence Diagrams", AAAI 2021.

Dependencies

$ conda create env --name gmid2 python=3.6
$ conda install numpy, networkx, sortedcontainers

• numpy version: 1.18
• networkx: 2.4

Benchmark Problems in UAI file format

• benchmark data set under /gmid2/gmid2/benchmarks
• file formats
  • .uai: same as uai file
  • .id: identity of variables and functions
  • .pvo: partial variable elimination ordering
  • .vo: variable elimination ordering

Usage

• use scripts under /gmid2/gmid2/scripts

$ PRJ_PATH=<path to gmid2>
$ python st_bte_bw.py $PRJ_PATH/benchmarks/synthetic/mpd1-4_2_2_5 2
$ python st_wmbmm_bw.py $PRJ_PATH/benchmarks/synthetic/mpd1-4_2_2_5 2