rank_AI_board_size

README.md

@@ -62,6 +62,7 @@ This section describes the available AIs, with strength based on their current O
     * **[~4d]** **Policy** uses the top move from the policy network (it's 'shape sense' without reading).
     * **[~5k]** **Policy Weighted** picks a random move weighted by the policy, leading to a varied style with mostly small mistakes, and occasional blunders due to a lack of reading.
     * **[~8k]** **Blinded Policy** picks a number of moves at random and play the best move among them, being effectively 'blind' to part of the board each turn.
+    * **[3d - 12k]** **Calibrated Rank Bot** was calibrated on various bots (e.g. GnuGo and Pachi at different strength settings) to play a balanced game from the opening to the endgame without making serious (DDK) blunders. Further discussion can be found on [this](https://github.com/sanderland/katrain/issues/44) thread.
 *  Options that are more on the 'fun and experimental' side include: 
     * Variants of **Blinded Policy**, which use the same basic strategy, but with a twist.:
         * **[~5k]** **Local Style** will consider mostly moves close to the last move.