no code implementations • 21 Feb 2024 • Deuksin Kwon, Emily Weiss, Tara Kulshrestha, Kushal Chawla, Gale M. Lucas, Jonathan Gratch
A successful negotiation demands a deep comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, as well as strategic reasoning and effective communication, making it challenging for automated systems.
no code implementations • 22 Oct 2023 • Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch
A natural way to design a negotiation dialogue system is via self-play RL: train an agent that learns to maximize its performance by interacting with a simulated user that has been designed to imitate human-human dialogue data.
1 code implementation • Findings (NAACL) 2022 • Kushal Chawla, Gale M. Lucas, Jonathan May, Jonathan Gratch
A practical model for this task needs to infer these priorities of the opponent on the fly based on partial dialogues as input, without needing additional annotations for training.
