ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1712.04034
  4. Cited By
Learning Robust Dialog Policies in Noisy Environments

Learning Robust Dialog Policies in Noisy Environments

11 December 2017
Maryam Fazel-Zarandi
Shang-Wen Li
Jin Cao
Jared Casale
Peter Henderson
David Whitney
A. Geramifard
ArXivPDFHTML

Papers citing "Learning Robust Dialog Policies in Noisy Environments"

11 / 11 papers shown
Title
Reinforcement Learning of Multi-Domain Dialog Policies Via Action
  Embeddings
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings
Jorge Armando Mendez Mendez
Alborz Geramifard
Mohammad Ghavamzadeh
Bing-Quan Liu
OffRL
27
6
0
01 Jul 2022
Teaching Models new APIs: Domain-Agnostic Simulators for Task Oriented
  Dialogue
Teaching Models new APIs: Domain-Agnostic Simulators for Task Oriented Dialogue
Moya Chen
Paul A. Crook
Stephen Roller
ALM
48
7
0
13 Oct 2021
Alexa Conversations: An Extensible Data-driven Approach for Building
  Task-oriented Dialogue Systems
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Anish Acharya
Suranjit Adhikari
Sanchit Agarwal
Vincent Auvray
Nehal Belgamwar
...
Vittorio Perera
Abhishek Sethi
Minmin Shen
N. Strom
Eddie Wang
19
22
0
19 Apr 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Erik Cambria
OffRL
44
73
0
01 Jan 2021
Style Attuned Pre-training and Parameter Efficient Fine-tuning for
  Spoken Language Understanding
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
Jin Cao
Jun Wang
Wael Hamza
Kelly Vanee
Shang-Wen Li
19
10
0
09 Oct 2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and
  Future Directions
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
Stephen Roller
Y-Lan Boureau
Jason Weston
Antoine Bordes
Emily Dinan
...
Kurt Shuster
Eric Michael Smith
Arthur Szlam
Jack Urbanek
Mary Williamson
LLMAG
AI4CE
25
51
0
22 Jun 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and
  Few-Shot New Disease Adaption
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
Hongyin Luo
Shang-Wen Li
James R. Glass
BDL
MedIm
21
9
0
19 May 2020
Towards Personalized Dialog Policies for Conversational Skill Discovery
Towards Personalized Dialog Policies for Conversational Skill Discovery
Maryam Fazel-Zarandi
Sampat Biswas
Ryan Summers
Ahmed Elmalt
Andy McCraw
Michael McPhilips
John Peach
25
4
0
15 Nov 2019
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain
  Conversation
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
Juraj Juraska
Kevin K. Bowden
M. Walker
19
41
0
26 Oct 2019
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue
  Systems
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
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
1