Update README.md

Author: pockerman

README.md

@@ -1,3 +1,20 @@
 # RL anonymity
 
-An experimental effort to use reinforcement learning techniques for data anonymity.
+An experimental effort to use reinforcement learning techniques for data anonymity. 
+
+## Conceptual overview
+
+Reinforcement learning is a learning framework based on accumulated experience. In this paradigm, an agent is learning by iteracting with an environment 
+without (to a large extent) any supervision. The following image   schematically describes the reinforcement learning framework 
+
+![RL paradigm](images/agent_environment_interface.png "Reinforcement learning paradigm") 
+
+The framework has been use successfully to many recent advances in corntol, robotics, games and elsewhere.
+
+Given that data anonymity is essentially an optimization problem; between data utility and privacy, in this repository we try
+to use the reinforcement learning paradigm in order to train agents to perform this optimization for us. The following image
+places this into a persepctive 
+
+
+![RL anonymity paradigm](images/general_concept.png "Reinforcement learning anonymity schematics") 
+