Merge pull request RasaHQ#4708 from ortsaCniveK/augmented-memo-docs

document AugmentedMemoizationPolicy

Author: akelad

CHANGELOG.rst

@@ -15,6 +15,7 @@ Added
 -----
 - Added data validator that checks if domain object returned is empty. If so, exit early from the command ``rasa data validate``
 - Added the KeywordIntentClassifier
+- Added documentation for ``AugmentedMemoizationPolicy``
 - Fall back to ``InMemoryTrackerStore`` in case there is any problem with the current
   tracker store
 

docs/core/policies.rst

@@ -417,6 +417,24 @@ training data. It predicts the next action with confidence ``1.0``
 if this exact conversation exists in the training data, otherwise it
 predicts ``None`` with confidence ``0.0``.
 
+Augmented Memoization Policy
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The ``AugmentedMemoizationPolicy`` remembers examples from training
+stories for up to ``max_history`` turns, just like the ``MemoizationPolicy``.
+Additionally, it has a forgetting mechanism that will forget a certain amount
+of steps in the conversation history and try to find a match in your stories
+with the reduced history. It predicts the next action with confidence ``1.0``
+if a match is found, otherwise it predicts ``None`` with confidence ``0.0``.
+
+.. note::
+
+  If you have dialogues where some slots that are set during
+  prediction time might not be set in training stories (e.g. in training
+  stories starting with a reminder not all previous slots are set),
+  make sure to add the relevant stories without slots to your training
+  data as well.
+
 .. _fallback-policy:
 
 Fallback Policy