Test trained model

After a model is trained you can test how it performs using test.py.

A good practice is to use the copy of the config file used for training, that was saved to the lodgir together with your trained model:

python test.py --config path_to_the_copy_of_the_config_file/config_name.json

This way, the correct workspace, robot etc. is set and the path to the trained model is loaded automatically. The robot starts performing learned task for a given set of evaluation episodes and some statistics are shown and stored.

You can vary the length of evaluation:

--eval_episodes= number of evaluation episodes to perform

It is possible to record a gif from selected camera during evaluation:

--record=1 --camera=0