A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learning

28 February 2022

Papers citing "A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learning"

4 / 4 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 16 0 0 13 Jul 2023
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation Xinting Huang Jianzhong Qi Yu Sun Rui Zhang OffRL 61 18 0 09 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
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