LatPlan : A domain-independent, image-based classical planner

This fork changed the root dir, so it is possible to use without further modifications.

To install and run latplan you have the following options:

• Create a virtualenv with Python 3.5.x and install the necessary packages
• Use Leonardo's virtualenv on LSA

• First create a virtualenv using at least python 3.5.x.
• Install Keras and Tensorflow
• Run latplan/install.sh
• Follow further instructions in the original readme inside the #latplan# folder

source /home/leonardo/latplan/latplan/bin/activate

Currently test_all.sh does not seem to be working due to path issues, trying to fix that. Additionally do-everything.sh can be only executed as root. To train the networks use:

./train_all.sh

or

./train_all_fast.sh

Output is going to "samples/<problem_name>". Encoder and decoder weights are being saved there.