Adversarial advantage actor-critic model for task-completion dialogue policy learning

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[PDF] nature.com

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

M Abbasian, E Khatibi, I Azimi, D Oniani… - NPJ Digital …, 2024 - nature.com
Abstract Generative Artificial Intelligence is set to revolutionize healthcare delivery by
transforming traditional patient care into a more personalized, efficient, and proactive …
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[PDF] springer.com

A survey on recent advances and challenges in reinforcement learning methods for task-oriented dialogue policy learning

WC Kwan, HR Wang, HM Wang, KF Wong - Machine Intelligence …, 2023 - Springer
Dialogue policy learning (DPL) is a key component in a task-oriented dialogue (TOD)
system. Its goal is to decide the next action of the dialogue system, given the dialogue state …
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[PDF] arxiv.org

Deep dyna-q: Integrating planning for task-completion dialogue policy learning

B Peng, X Li, J Gao, J Liu, KF Wong, SY Su - ar** agents to engage in complex goal-oriented dialogues is challenging partly
because the main learning signals are very sparse in long conversations. In this paper, we …
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