To run, navigate to the run folder and issue the command "python train_a3c.py" to run A3C or "python train_a4c.py" to train skills with a shared policy layer.
This will save model checkpoints each iteration in the directory run/experiment_logs/checkpoints and will log evaluation episode rewards in run/experiment_logs/logs