Papers with offline RL framework

1 papers
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning (2023.emnlp-main)

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Challenge: Existing methods to improve persona consistency are centered around supervised learning or online reinforcement learning (RL). Existing approaches to improve consistency are expensive and require additional training.
Approach: They propose an offline supervised learning framework to improve persona consistency of dialogue systems by punishing and rewarding specific utterances.
Outcome: The proposed framework improves both the persona consistency and dialogue quality of a state-of-the-art social chatbot.

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