Folgen
Heriberto Cuayáhuitl
Heriberto Cuayáhuitl
University of Lincoln, School of Computer Science, UK
Bestätigte E-Mail-Adresse bei lincoln.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multimodal child-robot interaction: Building social bonds
T Belpaeme, P Baxter, R Read, R Wood, H Cuayáhuitl, B Kiefer, ...
Journal of Human-Robot Interaction 1 (2), 33-53, 2012
3842012
Human-computer dialogue simulation using hidden markov models
H Cuayáhuitl, S Renals, O Lemon, H Shimodaira
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 290-295, 2005
1522005
Strategic dialogue management via deep reinforcement learning
H Cuayáhuitl, S Keizer, O Lemon
arXiv preprint arXiv:1511.08099, 2015
1332015
SimpleDS: A Simple Deep Reinforcement Learning Dialogue System
H Cuayáhuitl
Dialogues with Social Robots: Enablements, Analyses, and Evaluation, 109-118, 2017
1152017
Ensemble-based deep reinforcement learning for chatbots
H Cuayáhuitl, D Lee, S Ryu, Y Cho, S Choi, S Indurthi, S Yu, H Choi, ...
Neurocomputing 366, 118-130, 2019
942019
Evaluation of a hierarchical reinforcement learning spoken dialogue system
H Cuayáhuitl, S Renals, O Lemon, H Shimodaira
Computer Speech & Language 24 (2), 395-429, 2010
882010
A survey on deep reinforcement learning for audio-based applications
S Latif, H Cuayáhuitl, F Pervez, F Shamshad, HS Ali, E Cambria
Artificial Intelligence Review 56 (3), 2193-2240, 2023
792023
Hierarchical reinforcement learning for spoken dialogue systems
H Cuayáhuitl
The University of Edinburgh, 2009
542009
Evaluating persuasion strategies and deep reinforcement learning methods for negotiation dialogue agents
S Keizer, M Guhe, H Cuayáhuitl, I Efstathiou, KP Engelbrecht, M Dobre, ...
EACL 2017 Software Demonstrations, 480-484, 2017
532017
Children's adaptation in multi-session interaction with a humanoid robot
M Nalin, I Baroni, I Kruijff-Korbayová, L Canamero, M Lewis, A Beck, ...
IEEE International Symposium on Robot and Human Interactive Communication …, 2012
532012
Transformers in speech processing: A survey
S Latif, A Zaidi, H Cuayahuitl, F Shamshad, M Shoukat, J Qadir
arXiv preprint arXiv:2303.11607, 2023
502023
Deep reinforcement learning for multi-domain dialogue systems
H Cuayáhuitl, S Yu, A Williamson, J Carse
arXiv preprint arXiv:1611.08675, 2016
492016
Hierarchical reinforcement learning and hidden markov models for task-oriented natural language generation
N Dethlefs, H Cuayáhuitl
Proceedings of the 49th annual meeting of the association for computational …, 2011
462011
Reinforcement learning of dialogue strategies with hierarchical abstract machines
H Cuayáhuitl, S Renals, O Lemon, H Shimodaira
IEEE Spoken Language Technology Workshop (SLT), 182-185, 2006
432006
Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue
N Dethlefs, H Cuayáhuitl
372011
Hierarchical reinforcement learning for adaptive text generation
N Dethlefs, H Cuayáhuitl
International Natural Language Generation Conference (INLG), 2010
372010
Generating adaptive route instructions using hierarchical reinforcement learning
H Cuayáhuitl, N Dethlefs, L Frommberger, KF Richter, J Bateman
Spatial Cognition VII: International Conference, Spatial Cognition 2010, Mt …, 2010
372010
Machine learning for interactive systems and robots: a brief introduction
H Cuayáhuitl, M Van Otterlo, N Dethlefs, L Frommberger
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems …, 2013
362013
Conditional random fields for responsive surface realisation using global features
N Dethlefs, H Hastie, H Cuayáhuitl, O Lemon
Annual Meeting of the Association for Computational Linguistics (ACL …, 2013
362013
Lightweight non-intrusive load monitoring employing pruned sequence-to-point learning
J Barber, H Cuayáhuitl, M Zhong, W Luan
International Workshop on Non-Intrusive Load Monitoring, 11-15, 2020
352020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20