NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems
Pei-Hao Su
|
David Vandyke
|
Milica Gašić
|
Nikola Mrkšić
|
Tsung-Hsien Wen
|
Steve Young
|
Paper Details:
Month: September
Year: 2015
Location: Prague, Czech Republic
Venue:
SIGDIAL |
WS |
SIG: SIGDIAL
Citations
URL
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management
Pei-Hao Su
|
Paweł Budzianowski
|
Stefan Ultes
|
Milica Gašić
|
Steve Young
|
No URLs Found
Field Of Study
Linguistic Trends
Discourse
Task
Language Understanding
Language
English
Dataset
Spoken Dialog
Similar Papers
Learning how to Learn: An Adaptive Dialogue Agent for Incrementally Learning Visually Grounded Word Meanings
Yanchao Yu
|
Arash Eshghi
|
Oliver Lemon
|
Classification of modal meaning in negotiation dialogues
Valeria Lapina
|
Volha Petukhova
|
Quality-adaptive Spoken Dialogue Initiative Selection And Implications On Reward Modelling
Stefan Ultes
|
Matthias Kraus
|
Alexander Schmitt
|
Wolfgang Minker
|
ALICO: a multimodal corpus for the study of active listening
Hendrik Buschmeier
|
Zofia Malisz
|
Joanna Skubisz
|
Marcin Wlodarczak
|
Ipke Wachsmuth
|
Stefan Kopp
|
Petra Wagner
|
STRUCTURE AND INTONATION IN SPOKEN LANGUAGE UNDERSTANDING
Mark Steedman
|