Add configuration files and data

reinforcement_learning/config/moviebot_config_rb_nlu.yaml

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+---
+CONVERSATION_LOGS: # implementation: save conversational logs for debugging
+  save: False
+  nlp: True
+  path: reports/conversations/
+
+DATA:
+  domain_path: data/movies_domain.yaml
+  db_path: data/movies_dbase.db
+  slot_values_path: data/slot_values.json
+
+NLU:
+  tag_words_slots: config/tag_words_slots.json
+
+RECOMMENDER: "slot_based"
+
+TELEGRAM: False # execute the code on Telegram
+
+POLLING: False # True when using Telegram without server
+
+FLASK: False
+
+BOT_TOKEN_PATH: config/bot_token.yaml
+
+BOT_HISTORY: # save the conversational logs for Telegram users
+  save: True
+  path: conversation_history/
+
+DEBUG: False

reinforcement_learning/config/usersim_agenda_config.yaml

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+simulator_type: "agenda_based"
+simulator_id: "usersim_moviebot_neural_nlu"
+
+agent_id: "IAI MovieBot"
+output_name: "moviebot"
+# By default, the agent has an HTTP API.
+agent_uri: "http://127.0.0.1:5001"
+
+domain: reinforcement_learning/data/simulator/movies_domain.yaml
+intents: reinforcement_learning/data/simulator/moviebot_interaction_model.yaml
+
+items: reinforcement_learning/data/movielens-25m-sample/movies_w_keywords.csv
+id_col: movieId
+domain_mapping:
+  title:
+    slot: TITLE
+  genres:
+    slot: GENRE
+    multi-valued: True
+    delimiter: "|"
+  keywords:
+    slot: KEYWORD
+    multi-valued: True
+    delimiter: "|"
+ratings: reinforcement_learning/data/movielens-25m-sample/ratings.csv
+historical_ratings_ratio: 0.8
+
+dialogues: reinforcement_learning/data/simulator/moviebot-1.1/annotated_dialogues_moviebot_1_1_updated.json
+intent_classifier: "diet"
+# If using the DIET classifier the following file needs to be provided.
+rasa_dialogues: reinforcement_learning/data/simulator/moviebot-1.1/annotated_dialogues_moviebot_1_1_updated_rasa_agent.yaml
+
+nlg: conditional
+
+debug: True