Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning
Guanlin Wu, Wenqi Fang, Ji Wang, Jiang Cao, Weidong Bao, Yang Ping, Xiaomin Zhu, Zheng Wang
- Anthology ID:
- 2021.findings-acl.156
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1786–1795
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.156
- DOI:
- 10.18653/v1/2021.findings-acl.156
- Cite (ACL):
- Guanlin Wu, Wenqi Fang, Ji Wang, Jiang Cao, Weidong Bao, Yang Ping, Xiaomin Zhu, and Zheng Wang. 2021. Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1786–1795, Online. Association for Computational Linguistics.
- Cite (Informal):
- Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning (Wu et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2021.findings-acl.156.pdf