Strength lies in differences! improving strategy planning for non-collaborative dialogues via diversified user simulation

• Main Authors: ZHANG, Tong, HUANG, Chen, DENG, Yang, LIANG, Hongru, LIU, Jia, WEN, Zujie, LEI, Wenqiang, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Dialogue agents; Non-collaborative dialogues; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9538; https://ink.library.smu.edu.sg/context/sis_research/article/10538/viewcontent/2403.06769v3.pdf
• Institution: Singapore Management University

We investigate non-collaborative dialogue agents, which are expected to engage in strategic conversations with diverse users, for securing a mutual agreement that leans favorably towards the system’s objectives. This poses two main challenges for existing dialogue agents: 1) The inability to integrate user-specific characteristics into the strategic planning, and 2) The difficulty of training strategic planners that can be generalized to diverse users. To address these challenges, we propose TRIP to enhance the capability in tailored strategic planning, incorporating a user-aware strategic planning module and a population-based training paradigm. Through experiments on benchmark non-collaborative dialogue tasks, we demonstrate the effectiveness of TRIP in catering to diverse users.