Experience as source for anticipation and planning : Experiential policy learning for target-driven recommendation dialogues
Target-driven recommendation dialogues present unique challenges in dialogue management due to the necessity of anticipating user interactions for successful conversations. Current methods face significant limitations: (I) inadequate capabilities for conversation anticipation, (II) computational ine...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9617 https://ink.library.smu.edu.sg/context/sis_research/article/10617/viewcontent/2743_Experience_as_Source_for_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |