Francisco Cruz

Letícia Portela

Fernando Buarque

Artif. Intell. Rev., May, 2024

Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Contextual Affordances for Safe Exploration in Robotic Scenarios.

[BibT_eX]

[DOI]

William Z. Ye

Eduardo B. Sandoval

Pamela Carreno-Medrano

CoRR, 2024

Self context-aware emotion perception on human-robot interaction.

[BibT_eX]

[DOI]

Zihan Lin

Eduardo Benítez Sandoval

CoRR, 2024

Improving Proximal Policy Optimization Algorithm in Interactive Multi-Agent Systems.

[BibT_eX]

[DOI]

Yi Shang

Yifei Chen

Proceedings of the IEEE International Conference on Development and Learning, 2024

2023

Persistent rule-based interactive reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., November, 2023

Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

Human engagement providing evaluative and informative advice for interactive reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

Proxemic behavior in navigation tasks using reinforcement learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

AI apology: interactive multi-objective reinforcement learning for human-aligned AI.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2023

Explainable reinforcement learning for broad-XAI: a conceptual framework and survey.

[BibT_eX]

[DOI]

Peter Vamplew

Neural Comput. Appl., August, 2023

Human-aligned reinforcement learning for autonomous agents and robots.

[BibT_eX]

[DOI]

Thommen George Karimpanal

Miguel A. Solis

Pablo Barros

Neural Comput. Appl., August, 2023

Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach.

[BibT_eX]

[DOI]

João V. R. de Andrade

André R. L. C. Izídio

Nilson M. da Silva Filho

Algorithms, July, 2023

Editorial: Cognitive inspired aspects of robot learning.

[BibT_eX]

[DOI]

Miguel A. Solis

Nicolás Navarro-Guerrero

Frontiers Neurorobotics, June, 2023

Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.

[BibT_eX]

[DOI]

Hung Son Nguyen

Sensors, March, 2023

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2023

Asch Meets HRI: Human Conformity to Robot Groups.

[BibT_eX]

[DOI]

Jasmin Bernotat

Doreen Jirak

Eduardo Benítez Sandoval

Alessandra Sciutti

CoRR, 2023

Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning.

[BibT_eX]

[DOI]

Zherui Tong

Eduardo Benítez Sandoval

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Time estimation for deep learning model's inference in distributed processing units.

[BibT_eX]

[DOI]

Ernesto Portugal

Sérgio Murilo Maciel Fernandes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Event-Based Angular Speed Measurement and Movement Monitoring.

[BibT_eX]

[DOI]

George Oliveira de Araújo Azevedo

Bruno José Torres Fernandes

Leandro Honorato de Souza Silva

Agostinho Freire

Rogério Pontes de Araújo

Sensors, 2022

Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios.

[BibT_eX]

[DOI]

Niclas Schroeter

CoRR, 2022

Broad-persistent Advice for Interactive Reinforcement Learning Scenarios.

[BibT_eX]

[DOI]

CoRR, 2022

Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks.

[BibT_eX]

[DOI]

CoRR, 2022

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.

[BibT_eX]

[DOI]

Ernesto Portugal

Algorithms, 2022

Convolution Optimization in Fire Classification.

[BibT_eX]

[DOI]

Bruno José Torres Fernandes

David Macêdo

Cleber Zanchettin

IEEE Access, 2022

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario.

[BibT_eX]

[DOI]

Hugo Muñoz

Ernesto Portugal

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Reinforcement Learning for UAV control with Policy and Reward Shaping.

[BibT_eX]

[DOI]

Ruben Contreras

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.

[BibT_eX]

[DOI]

Hung Son Nguyen

CoRR, 2021

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents.

[BibT_eX]

[DOI]

CoRR, 2021

Levels of explainable artificial intelligence for human-aligned conversational explanations.

[BibT_eX]

[DOI]

Artif. Intell., 2021

A Robust Approach for Continuous Interactive Actor-Critic Algorithms.

[BibT_eX]

[DOI]

Sérgio Fernandes

IEEE Access, 2021

2020

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment.

[BibT_eX]

[DOI]

CoRR, 2020

Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario.

[BibT_eX]

[DOI]

Peter Vamplew

CoRR, 2020

iCub: Learning Emotion Expressions using Human Reward.

[BibT_eX]

[DOI]

CoRR, 2020

Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition.

[BibT_eX]

[DOI]

Ruben Contreras

Comput., 2020

KutralNet: A Portable Deep Learning Model for Fire Recognition.

[BibT_eX]

[DOI]

David Macêdo

Adriano L. I. Oliveira

Cleber Zanchettin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

A Comparison of Humanoid Robot Simulators: A Quantitative Approach.

[BibT_eX]

[DOI]

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

A Robust Approach for Continuous Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

Sérgio Fernandes

Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020

2019

Lightweight and efficient octave convolutional neural network for fire recognition.

[BibT_eX]

[DOI]

Estanislau Lima

Byron L. D. Bezerra

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Human feedback in continuous actor-critic reinforcement learning.

[BibT_eX]

[DOI]

Cristian Millán

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Memory-Based Explainable Reinforcement Learning.

[BibT_eX]

[DOI]

Peter Vamplew

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Reinforcement learning using continuous states and interactive feedback.

[BibT_eX]

[DOI]

Claudio Henríquez

Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

2018

Improving interactive reinforcement learning: What makes a good teacher?

[BibT_eX]

[DOI]

Connect. Sci., 2018

Action Selection Methods in a Robotic Reinforcement Learning Scenario.

[BibT_eX]

[DOI]

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

German Ignacio Parisi

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Teaching Robots With Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

PhD thesis, 2017

Agent-advising approaches in an interactive reinforcement learning scenario.

[BibT_eX]

[DOI]

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016

Training Agents With Interactive Reinforcement Learning and Contextual Affordances.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2016

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario.

[BibT_eX]

[DOI]

German Ignacio Parisi

Johannes Twiefel

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning contextual affordances with an associative neural architecture.

[BibT_eX]

[DOI]

German Ignacio Parisi

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Interactive reinforcement learning through speech guidance in a domestic scenario.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Improving reinforcement learning with interactive feedback and affordances.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2010

Indirect Training with Error Backpropagation in Gray-Box Neural Model: Application to a Chemical Process.

[BibT_eX]

[DOI]

Francisco Cruz Naranjo

Gonzalo Acuña Leiva

Proceedings of the SCCC 2010, 2010

2007

Indirect Training of Grey-Box Models: Application to a Bioprocess.

[BibT_eX]

[DOI]