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"

6 / 6 papers shown

Title
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition David M. Chan Shalini Ghosh Hitesh Tulsiani Ariya Rastrow Björn Hoffmeister 28 1 0 04 Jan 2024
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues Sungryull Sohn Yiwei Lyu Anthony Z. Liu Lajanugen Logeswaran Dong-Ki Kim Dongsub Shim Honglak Lee 21 3 0 07 Dec 2023
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 21 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 317 11,681 0 09 Mar 2017
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems Layla El Asri Jing He Kaheer Suleman 57 117 0 30 Jun 2016