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Deep Reinforcement Learning dialogue agent which implements Q-Learning. Made in Python with TensorFlow.

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DRL-Chatbot

  • CREATE_MODEL: Build as normal

Change line 21 to folder containing "Converations.csv"

Change line 37 to folder where you want the model stored

  • CHATBOT: Run Training: python chatbot.py -training

Run Testing: python chatbot.py

Change line 61 to the desired checkpoint directory to store the learned Q-values etc

Change line 62 to the desired logs directory for TensorBoard

Change line 65 to the folder containing "Conversations.csv"

NOTE: Further info within Software Report & Dissertation folder including screenshots of the system.

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Deep Reinforcement Learning dialogue agent which implements Q-Learning. Made in Python with TensorFlow.

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