Add some tweaks to the overview in the README.
# Acme
Acme is a library of reinforcement learning (RL) agents and agent building
-blocks. Overall Acme strives to expose simple, efficient, and readable agent
-baselines while still providing enough flexibility to create novel
-implementations. The design of Acme also attempts to provide multiple points of
-entry to the RL problem at differing levels of complexity.
+blocks. Acme strives to expose simple, efficient, and readable agents, that
+serve both as reference implementations of popular algorithms and as strong
+baselines, while still providing enough flexibility to do novel research. The
+design of Acme also attempts to provide multiple points of entry to the RL
+problem at differing levels of complexity.
+
+## Overview
At the highest level Acme exposes a number of agents which can be used simply as
follows:
@@ -27,9 +30,9 @@ An overview of Acme along with more detailed descriptions of its underlying
components can be found by referring to the [documentation].
For a quick start, take a look at the more detailed working code examples found
-in the [examples] subdirectory. And finally, for more information on
-the various agent implementations available take a look at the [agents]
-subdirectory along with the `README.md` associated with each agent.
+in the [examples] subdirectory. And finally, for more information on the various
+agent implementations available take a look at the [agents] subdirectory along
+with the `README.md` associated with each agent.
[documentation]: docs/index.md
[examples]: examples/
