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Human-centric Dialog Training via Offline Reinforcement Learning

EMNLP 2020 • Natasha Jaques • Judy Hanwen Shen • Asma Ghandeharioun • Craig Ferguson • Agata Lapedriza • Noah Jones • Shixiang Shane Gu • Rosalind Picard

How can we train a dialog model to produce better conversations by learning from human feedback, without the risk of humans teaching it harmful chat behaviors? We start by hosting models online, and gather human feedback from real-time, open-ended conversations, which we then use to train and improve the models using offline reinforcement learning (RL)... (read more)

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