Papers with hybrid imitation and reinforcement learning method

1 papers
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems (N18-1)

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Challenge: Existing methods for learning task-oriented dialogues include applying reinforcement learning with user feedback on supervised pre-training models.
Approach: They propose a hybrid imitation and reinforcement learning method that integrates user feedback and reinforcement training to improve the agent's performance.
Outcome: The proposed method can learn from the mistake it makes via imitation learning from user teaching and feedback.

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