Francisco Cruz

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 65

Top Venues

University of Hamburg, Germany (PHD)

Education History

University of Hamburg, Germany

PHD

Publications

Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks. Neurocomputing 576 (2024)
Angel Ayala, Letícia Portela, Fernando Buarque, Bruno J. T. Fernandes, Francisco Cruz
UAV control in autonomous object-goal navigation: a systematic literature review. Artif. Intell. Rev. 57 (5) (2024)
William Z. Ye, Eduardo B. Sandoval, Pamela Carreno-Medrano, Francisco Cruz
Contextual Affordances for Safe Exploration in Robotic Scenarios. CoRR (2024)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Human engagement providing evaluative and informative advice for interactive reinforcement learning. Neural Comput. Appl. 35 (25) (2023)
Francisco Cruz, Richard Dazeley, Peter Vamplew, Ithan Moreira
Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario. Neural Comput. Appl. 35 (25) (2023)
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. 14 (4) (2023)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Persistent rule-based interactive reinforcement learning. Neural Comput. Appl. 35 (32) (2023)
Ernesto Portugal, Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Sérgio Murilo Maciel Fernandes
Time estimation for deep learning model's inference in distributed processing units. LA-CCI (2023)
Francisco Cruz, Thommen George Karimpanal, Miguel A. Solis, Pablo Barros, Richard Dazeley
Human-aligned reinforcement learning for autonomous agents and robots. Neural Comput. Appl. 35 (23) (2023)
Hadassah Harland, Richard Dazeley, Bahareh Nakisa, Francisco Cruz, Peter Vamplew
AI apology: interactive multi-objective reinforcement learning for human-aligned AI. Neural Comput. Appl. 35 (23) (2023)
Richard Dazeley, Peter Vamplew, Francisco Cruz
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey. Neural Comput. Appl. 35 (23) (2023)
Hung Son Nguyen, Francisco Cruz, Richard Dazeley
Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments. Sensors 23 (5) (2023)
João V. R. de Andrade, Bruno J. T. Fernandes, André R. L. C. Izídio, Nilson M. da Silva Filho, Francisco Cruz
Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach. Algorithms 16 (7) (2023)
Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz
Proxemic behavior in navigation tasks using reinforcement learning. Neural Comput. Appl. 35 (23) (2023)
Jasmin Bernotat, Doreen Jirak, Eduardo Benítez Sandoval, Francisco Cruz, Alessandra Sciutti
Asch Meets HRI: Human Conformity to Robot Groups. CoRR (2023)
Zherui Tong, Angel Ayala, Eduardo Benítez Sandoval, Francisco Cruz
Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning. LA-CCI (2023)
Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. IJCNN (2023)
Niclas Schroeter, Francisco Cruz, Stefan Wermter
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios. CoRR (2022)
Francisco Cruz, Adam Bignold, Hung Son Nguyen, Richard Dazeley, Peter Vamplew
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios. CoRR (2022)
Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin
Convolution Optimization in Fire Classification. IEEE Access 10 (2022)
Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. SCCC (2022)
Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes
Reinforcement Learning for UAV control with Policy and Reward Shaping. CoRR (2022)
Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes
Reinforcement Learning for UAV control with Policy and Reward Shaping. SCCC (2022)
Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks. CoRR (2022)
Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. IROS (2022)
Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. CoRR (2022)
George Oliveira de Araújo Azevedo, Bruno José Torres Fernandes, Leandro Honorato de Souza Silva, Agostinho Freire, Rogério Pontes de Araújo, Francisco Cruz
Event-Based Angular Speed Measurement and Movement Monitoring. Sensors 22 (20) (2022)
Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. CoRR (2022)
Ernesto Portugal, Francisco Cruz, Angel Ayala, Bruno J. T. Fernandes
Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment. Algorithms 15 (3) (2022)
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
Levels of explainable artificial intelligence for human-aligned conversational explanations. Artif. Intell. 299 (2021)
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR (2021)
Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz, Richard Dazeley, Sergio Fernandes
A Robust Approach for Continuous Interactive Actor-Critic Algorithms. IEEE Access 9 (2021)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Persistent Rule-based Interactive Reinforcement Learning. CoRR (2021)
Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents. CoRR (2021)
Richard Dazeley, Peter Vamplew, Francisco Cruz
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey. CoRR (2021)
Hung Son Nguyen, Francisco Cruz, Richard Dazeley
A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments. CoRR (2021)
Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Richard Dazeley
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. CoRR (2021)
Ruben Contreras, Angel Ayala, Francisco Cruz
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition. CoRR (2020)
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. CoRR (2020)
Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. ICDL-EPIROB (2020)
Pablo V. A. Barros, Ana Tanevska, Francisco Cruz, Alessandra Sciutti
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. CoRR (2020)
Pablo V. A. Barros, Ana Tanevska, Francisco Cruz, Alessandra Sciutti
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. ICDL-EPIROB (2020)
Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno J. T. Fernandes
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment. CoRR (2020)
Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN (2020)
Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR (2020)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. CoRR (2020)
Nikhil Churamani, Francisco Cruz, Sascha S. Griffiths, Pablo V. A. Barros
iCub: Learning Emotion Expressions using Human Reward. CoRR (2020)
Ruben Contreras, Angel Ayala, Francisco Cruz
Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition. Comput. 9 (3) (2020)
Francisco Cruz, Richard Dazeley, Peter Vamplew
Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario. CoRR (2020)
Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz, Richard Dazeley, Sergio Fernandes
A Robust Approach for Continuous Interactive Reinforcement Learning. HAI (2020)
Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. CoRR (2020)
Cristian Millán, Bruno J. T. Fernandes, Francisco Cruz
Human feedback in continuous actor-critic reinforcement learning. ESANN (2019)
Angel Ayala, Estanislau Lima, Bruno J. T. Fernandes, Byron L. D. Bezerra, Francisco Cruz
Lightweight and efficient octave convolutional neural network for fire recognition. LA-CCI (2019)
Angel Ayala, Claudio Henríquez, Francisco Cruz
Reinforcement learning using continuous states and interactive feedback. APPIS (2019)
Francisco Cruz, Richard Dazeley, Peter Vamplew
Memory-Based Explainable Reinforcement Learning. Australasian Conference on Artificial Intelligence (2019)
Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter
Improving interactive reinforcement learning: What makes a good teacher? CoRR (2019)
Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter
Improving interactive reinforcement learning: What makes a good teacher? Connect. Sci. 30 (3) (2018)
Francisco Cruz, German Ignacio Parisi, Stefan Wermter
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. IJCNN (2018)
Francisco Cruz, German Ignacio Parisi, Stefan Wermter
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. CoRR (2018)
Francisco Cruz, Peter Wuppen, Alvin Fazrie, Cornelius Weber, Stefan Wermter
Action Selection Methods in a Robotic Reinforcement Learning Scenario. LA-CCI (2018)
Francisco Cruz, Peter Wuppen, Sven Magg, Alvin Fazrie, Stefan Wermter
Agent-advising approaches in an interactive reinforcement learning scenario. ICDL-EPIROB (2017)
Francisco Cruz, Sven Magg, Cornelius Weber, Stefan Wermter
Training Agents With Interactive Reinforcement Learning and Contextual Affordances. IEEE Trans. Cogn. Dev. Syst. 8 (4) (2016)
Francisco Cruz, German Ignacio Parisi, Stefan Wermter
Learning contextual affordances with an associative neural architecture. ESANN (2016)
Francisco Cruz, German Ignacio Parisi, Johannes Twiefel, Stefan Wermter
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. IROS (2016)
Francisco Cruz, Johannes Twiefel, Sven Magg, Cornelius Weber, Stefan Wermter
Interactive reinforcement learning through speech guidance in a domestic scenario. IJCNN (2015)
Francisco Cruz, Sven Magg, Cornelius Weber, Stefan Wermter
Improving reinforcement learning with interactive feedback and affordances. ICDL-EPIROB (2014)
Francisco Cruz, Gonzalo Acuña, Francisco A. Cubillos, Vicente Moreno, Danilo Bassi
Indirect Training of Grey-Box Models: Application to a Bioprocess. ISNN (2) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francisco Cruz