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.