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Deep Reinforcement Learning for Multi-Do...

Cuayáhuitl, Heriber...

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Deep Reinforcement Learning for Multi-Domain Dialogue Systems by Cuayáhuitl, Heriberto ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	09-08-2023
Summary	Standard deep reinforcement learning methods such as Deep Q-Networks (DQN) for multiple tasks (domains) face scalability problems. We propose a method for multi-domain dialogue policy learning---termed NDQN, and apply it to an information-seeking spoken dialogue system in the domains of restaurants and hotels. Experimental results comparing DQN (baseline) versus NDQN (proposed) using simulations report that our proposed method exhibits better scalability and is promising for optimising the behaviour of multi-domain dialogue systems.
ISBN	-
Item Type	Article
File Type	pdf
File Size	30.00 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1611.08675

Citation

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AMA 11th EditionReferences

Cuayáhuitl, Heriberto. Deep Reinforcement Learning for Multi-Domain Dialogue Systems. Australian National University. August 09, 2023. Accessed October 02, 2025. https://online.provdatabase.com/cite/14298

APA 7th EditionReferences

Cuayáhuitl, Heriberto. (2023). Deep Reinforcement Learning for Multi-Domain Dialogue Systems. Australian National University. https://online.provdatabase.com/cite/14298

Chicago 17th EditionReferences

Cuayáhuitl, Heriberto. Deep Reinforcement Learning for Multi-Domain Dialogue Systems. Australian National University. 2023. https://online.provdatabase.com/cite/14298

HarvardReferences

Cuayáhuitl, Heriberto. (2023). Deep Reinforcement Learning for Multi-Domain Dialogue Systems. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/14298. (Accessed 02 October 2025).

Harvard AustraliaReferences

Cuayáhuitl, Heriberto, 2023, Deep Reinforcement Learning for Multi-Domain Dialogue Systems, Australian National University, viewed 02 October 2025, <https://online.provdatabase.com/cite/14298>

MLA 9th EditionWorks Cited

Cuayáhuitl, Heriberto. Deep Reinforcement Learning for Multi-Domain Dialogue Systems. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/14298.

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