Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition

8 April 2020

Papers citing "Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition"

6 / 6 papers shown

Title
Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative Sho Shimoyama Tetsuro Morimura Kenshi Abe Toda Takamichi Yuta Tomomatsu Masakazu Sugiyama Asahi Hentona Yuuki Azuma Hirotaka Ninomiya OffRL 18 0 0 13 Jul 2023
Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture Abhishek Sethi Zhijian Ou Yi Huang Junlan Feng RALM 16 1 0 13 Oct 2022
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learning Wai-Chung Kwan Hongru Wang Huimin Wang Kam-Fai Wong OffRL 28 42 0 28 Feb 2022
Reinforced Natural Language Interfaces via Entropy Decomposition Xiaoran Wu Yipeng Kang LLMAG 19 0 0 23 Sep 2021
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue Anant Khandelwal OffRL 10 6 0 01 Aug 2021
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems Layla El Asri Jing He Kaheer Suleman 49 117 0 30 Jun 2016