85 citations · 231 across the 11 of their papers we have counts for
7 papers · 1 filter
A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
Heriberto Cuayahuitl, Grace Jang
Large Language Models (LLMs) have brought huge improvements to Artificial Intelligence (AI), which can be applied to general-purpose tasks. However, their application to textual or…
Ensemble-Based Deep Reinforcement Learning for Chatbots
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu +7
Trainable chatbots that exhibit fluent and human-like conversations remain a big challenge in artificial intelligence. Deep Reinforcement Learning (DRL) is promising for addressing…
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots
Heriberto Cuayáhuitl
The deep supervised and reinforcement learning paradigms (among others) have the potential to endow interactive multimodal social robots with the ability of acquiring skills autono…
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu +3
Training chatbots using the reinforcement learning paradigm is challenging due to high-dimensional states, infinite action spaces and the difficulty in specifying the reward functi…
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson +1
Standard deep reinforcement learning methods such as Deep Q-Networks (DQN) for multiple tasks (domains) face scalability problems. We propose a method for multi-domain dialogue pol…
SimpleDS: A Simple Deep Reinforcement Learning Dialogue System
Heriberto Cuayáhuitl
This paper presents 'SimpleDS', a simple and publicly available dialogue system trained with deep reinforcement learning. In contrast to previous reinforcement learning dialogue sy…
Strategic Dialogue Management via Deep Reinforcement Learning
Heriberto Cuayáhuitl, Simon Keizer, Oliver Lemon
Artificially intelligent agents equipped with strategic skills that can negotiate during their interactions with other natural or artificial agents are still underdeveloped. This p…