Skip to content
Python Shell
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.



Scott C. Livingston <>

btsynth is an implementation of the "backtracking synthesis" algorithm, currently only applied to gridworlds. The dependencies include TuLiP and NumPy.

Some functionality remains undocumented, but a good start is for viewing gridworld data files, and for running examples. is the deterministic case, i.e., no adversarial environment. E.g., try:

$ tools/ examples/data/paper4{,_real}.world
$ examples/ examples/data/paper4{,_real}.world

To generate a random gridworld problem of size 4 by 10, try:

$ tools/ -r 4 10

The output is a pretty visualization and a world code that can be saved to a plaintext file for later use (see below). The problem thus generated may not be feasible. A simple-minded but correct way to automatically test feasibility is to attempt global synthesis on it by calling gen_navobs_soln (see for example usage).

The code includes an extension to the Automaton class defined in TuLiP. Examples of new features are finite memory and switched transitions dependent on the state of this memory.

To test btsynth, from the root directory run:

$ nosetests

More detailed documentation is under doc directory, written in reStructuredText for Sphinx. A snapshot of this documentation will occasionally be posted at

You can’t perform that action at this time.