docs update + removing unused code from parallel_actor

docs/docs/index.md

@@ -2,7 +2,7 @@
 
 ## Motivation
 
-Enable easy design and training of state-of-the-art reinforcement learning algorithms with multiple environments
+Train and evaluate reinforcement learning agents by harnessing the power of multi-core CPU processing to achieve state-of-the-art results. Provide a sandbox for easing the development process of new algorithms through a modular design and an elegant set of APIs. 
 
 ## Solution
 

docs/mkdocs.yml

@@ -1,5 +1,5 @@
 site_name: Reinforcement Learning Coach Documentation
-theme: material
+theme: readthedocs
 site_description: 'Reinforcement Learning Coach Documentation by Intel Nervana.'
 markdown_extensions: 
 - mdx_math:

parallel_actor.py

@@ -29,14 +29,6 @@ import shutil
 
 start_time = time.time()
 
-
-# Disables write_meta_graph argument, which freezes entire process and is mostly useless.
-class FastSaver(tf.train.Saver):
-    def save(self, sess, save_path, global_step=None, latest_filename=None,
-             meta_graph_suffix="meta", write_meta_graph=True):
-        super(FastSaver, self).save(sess, save_path, global_step, latest_filename,
-                                    meta_graph_suffix, False)
-
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument('--ps_hosts',