2017/07/05 by Romain Laroche, Laroche, Romain
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL
paper · pdf · doi:10.48550/arxiv.1707.01450
Position paper for Sigdial/Semdial 2017 special session on negotiation dialogue
arxiv created 2017/07/05 · openalex publication_date 2017/07/05 · arxiv updated 2017/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This position paper formalises an abstract model for complex negotiation dialogue. This model is to be used for the benchmark of optimisation algorithms ranging from Reinforcement Learning to Stochastic Games, through Transfer Learning, One-Shot Learning or others.