A mimimalistic python app/environment for testing solvers of Markov Decision Processes.
Used as a semestral task on MDPs in the course AE3M33UI (Artificial Intelligence) at the Czech Technical University in Prague, Faculty of Electrical Engineering.
Go directly to the description where you will find the detailed description of the assignment and how to use the environment.
Just download or clone this repository, then run
$ python3 -m mdp_testbed -e
to start the maze editor, or
$ python3 -m mdp_testbed
to start the solution viewer, or
$ python3 -m mdp_testbed -h
to get further info on how you can run this app.
The only non-standard libraries are numpy and tkinter.