Dialog policy optimization for low resource setting using Self-play and Reward based Sampling
Tharindu Madusanka, Durashi Langappuli, Thisara Welmilla, Uthayasanker Thayasivam, Sanath Jayasena
- Anthology ID:
- 2020.paclic-1.21
- Volume:
- Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
- Month:
- October
- Year:
- 2020
- Address:
- Hanoi, Vietnam
- Editors:
- Minh Le Nguyen, Mai Chi Luong, Sanghoun Song
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 178–187
- Language:
- URL:
- https://aclanthology.org/2020.paclic-1.21
- DOI:
- Cite (ACL):
- Tharindu Madusanka, Durashi Langappuli, Thisara Welmilla, Uthayasanker Thayasivam, and Sanath Jayasena. 2020. Dialog policy optimization for low resource setting using Self-play and Reward based Sampling. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 178–187, Hanoi, Vietnam. Association for Computational Linguistics.
- Cite (Informal):
- Dialog policy optimization for low resource setting using Self-play and Reward based Sampling (Madusanka et al., PACLIC 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.paclic-1.21.pdf