A DQN chatbot that selects among 100 clustered reply types and is rewarded for picking true human responses learns on training dialogues but generalizes poorly to unseen dialogues.
Scaling up deep reinforcement learning for multi-domain dialogue systems,
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Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
A DQN chatbot that selects among 100 clustered reply types and is rewarded for picking true human responses learns on training dialogues but generalizes poorly to unseen dialogues.