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Francisco Cruz 0002
Francisco Cruz Naranjo
Person information
- affiliation (since 2022): University of New South Wales, Sydney, NSW, Australia
- affiliation (since 2017): Universidad Central de Chile, Santiago, Chile
- affiliation (2019 - 2022): Deakin University, School of Information Technology, Geelong, Australia
- affiliation (PhD 2017): University of Hamburg, Germany
- affiliation (former): Universidad de Santiago de Chile, Chila
Other persons with the same name
- Francisco Cruz 0001
(aka: Francisco Miguel Barros da Cruz) — University of Minho, Braga, Portugal
- Francisco Cruz 0003
- Francisco Cruz 0004 — Merck & Co. Inc., USA
- Francisco Cruz 0005 — University of Coimbra, Department of Mechanical Engineering, Portugal
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2020 – today
- 2024
- [j21]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): 125 (2024) - [j20]Adrian Ly, Richard Dazeley
Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks. Neurocomputing 576: 127170 (2024) - [c24]Yi Shang, Yifei Chen, Francisco Cruz:
Improving Proximal Policy Optimization Algorithm in Interactive Multi-Agent Systems. ICDL 2024: 1-6 - [i26]Zihan Lin, Francisco Cruz, Eduardo Benítez Sandoval:
Self context-aware emotion perception on human-robot interaction. CoRR abs/2401.10946 (2024) - [i25]William Z. Ye, Eduardo B. Sandoval, Pamela Carreno-Medrano, Francisco Cruz:
Contextual Affordances for Safe Exploration in Robotic Scenarios. CoRR abs/2405.06422 (2024) - 2023
- [j19]João V. R. de Andrade
Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach. Algorithms 16(7): 326 (2023) - [j18]Francisco Cruz, Miguel A. Solis, Nicolás Navarro-Guerrero
Editorial: Cognitive inspired aspects of robot learning. Frontiers Neurorobotics 17 (2023) - [j17]Adam Bignold, Francisco Cruz
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. 14(4): 3621-3644 (2023) - [j16]Francisco Cruz, Thommen George Karimpanal, Miguel A. Solis
Human-aligned reinforcement learning for autonomous agents and robots. Neural Comput. Appl. 35(23): 16689-16691 (2023) - [j15]Cristian Millán-Arias
Proxemic behavior in navigation tasks using reinforcement learning. Neural Comput. Appl. 35(23): 16723-16738 (2023) - [j14]Richard Dazeley
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey. Neural Comput. Appl. 35(23): 16893-16916 (2023) - [j13]Hadassah Harland
AI apology: interactive multi-objective reinforcement learning for human-aligned AI. Neural Comput. Appl. 35(23): 16917-16930 (2023) - [j12]Francisco Cruz
Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario. Neural Comput. Appl. 35(25): 18113-18130 (2023) - [j11]Adam Bignold, Francisco Cruz
Human engagement providing evaluative and informative advice for interactive reinforcement learning. Neural Comput. Appl. 35(25): 18215-18230 (2023) - [j10]Adam Bignold, Francisco Cruz
Persistent rule-based interactive reinforcement learning. Neural Comput. Appl. 35(32): 23411-23428 (2023) - [j9]Hung Son Nguyen
Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments. Sensors 23(5): 2681 (2023) - [c23]Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal:
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. IJCNN 2023: 1-6 - [c22]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: 1-6 - [c21]Zherui Tong, Angel Ayala, Eduardo Benítez Sandoval, Francisco Cruz:
Urban Autonomous Driving of Emergency Vehicles with Reinforcement Learning. LA-CCI 2023: 1-6 - [i24]Jasmin Bernotat, Doreen Jirak, Eduardo Benítez Sandoval, Francisco Cruz, Alessandra Sciutti:
Asch Meets HRI: Human Conformity to Robot Groups. CoRR abs/2308.13307 (2023) - 2022
- [j8]Angel Ayala
Convolution Optimization in Fire Classification. IEEE Access 10: 23642-23658 (2022) - [j7]Ernesto Portugal
Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment. Algorithms 15(3): 91 (2022) - [j6]George Oliveira de Araújo Azevedo
Event-Based Angular Speed Measurement and Movement Monitoring. Sensors 22(20): 7963 (2022) - [c20]Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew:
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. IROS 2022: 894-901 - [c19]Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes:
Reinforcement Learning for UAV control with Policy and Reward Shaping. SCCC 2022: 1-8 - [c18]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: 1-8 - [i23]Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew:
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. CoRR abs/2207.03214 (2022) - [i22]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 abs/2210.03325 (2022) - [i21]Francisco Cruz, Adam Bignold, Hung Son Nguyen, Richard Dazeley, Peter Vamplew:
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios. CoRR abs/2210.05187 (2022) - [i20]Niclas Schroeter, Francisco Cruz, Stefan Wermter
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios. CoRR abs/2211.12930 (2022) - [i19]Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes:
Reinforcement Learning for UAV control with Policy and Reward Shaping. CoRR abs/2212.03828 (2022) - [i18]Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz:
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. CoRR abs/2212.06967 (2022) - 2021
- [j5]Cristian Millán-Arias
A Robust Approach for Continuous Interactive Actor-Critic Algorithms. IEEE Access 9: 104242-104260 (2021) - [j4]Richard Dazeley
Levels of explainable artificial intelligence for human-aligned conversational explanations. Artif. Intell. 299: 103525 (2021) - [i17]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Persistent Rule-based Interactive Reinforcement Learning. CoRR abs/2102.02441 (2021) - [i16]Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR abs/2107.03178 (2021) - [i15]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz:
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents. CoRR abs/2108.03730 (2021) - [i14]Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Richard Dazeley:
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. CoRR abs/2108.08911 (2021) - [i13]Richard Dazeley, Peter Vamplew, Francisco Cruz:
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey. CoRR abs/2108.09003 (2021) - [i12]Hung Son Nguyen, Francisco Cruz, Richard Dazeley:
A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments. CoRR abs/2110.08003 (2021) - 2020
- [j3]Ruben Contreras, Angel Ayala
Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition. Comput. 9(3): 75 (2020) - [c17]Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz
A Robust Approach for Continuous Interactive Reinforcement Learning. HAI 2020: 278-280 - [c16]Angel Ayala, Francisco Cruz
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. ICDL-EPIROB 2020: 1-6 - [c15]Pablo V. A. Barros
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. ICDL-EPIROB 2020: 1-8 - [c14]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - [i11]Nikhil Churamani
iCub: Learning Emotion Expressions using Human Reward. CoRR abs/2003.13483 (2020) - [i10]Francisco Cruz, Richard Dazeley, Peter Vamplew:
Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario. CoRR abs/2006.13615 (2020) - [i9]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 abs/2007.01544 (2020) - [i8]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 abs/2007.03363 (2020) - [i7]Pablo V. A. Barros, Ana Tanevska
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. CoRR abs/2007.16045 (2020) - [i6]Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley:
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. CoRR abs/2008.04627 (2020) - [i5]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 abs/2008.06866 (2020) - [i4]Ruben Contreras, Angel Ayala, Francisco Cruz:
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition. CoRR abs/2009.04215 (2020) - [i3]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. CoRR abs/2009.09575 (2020)
2010 – 2019
- 2019
- [c13]Angel Ayala, Claudio Henríquez, Francisco Cruz
Reinforcement learning using continuous states and interactive feedback. APPIS 2019: 29:1-29:5 - [c12]Francisco Cruz
Memory-Based Explainable Reinforcement Learning. Australasian Conference on Artificial Intelligence 2019: 66-77 - [c11]Cristian Millán, Bruno J. T. Fernandes, Francisco Cruz:
Human feedback in continuous actor-critic reinforcement learning. ESANN 2019 - [c10]Angel Ayala, Estanislau Lima, Bruno J. T. Fernandes
Lightweight and efficient octave convolutional neural network for fire recognition. LA-CCI 2019: 1-6 - [i2]Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter:
Improving interactive reinforcement learning: What makes a good teacher? CoRR abs/1904.06879 (2019) - 2018
- [j2]Francisco Cruz
Improving interactive reinforcement learning: What makes a good teacher? Connect. Sci. 30(3): 306-325 (2018) - [c9]Francisco Cruz
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. IJCNN 2018: 1-8 - [c8]Francisco Cruz
Action Selection Methods in a Robotic Reinforcement Learning Scenario. LA-CCI 2018: 1-6 - [i1]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. CoRR abs/1807.09991 (2018) - 2017
- [b1]Francisco Cruz:
Teaching Robots With Interactive Reinforcement Learning. University of Hamburg, Germany, 2017 - [c7]Francisco Cruz
Agent-advising approaches in an interactive reinforcement learning scenario. ICDL-EPIROB 2017: 209-214 - 2016
- [j1]Francisco Cruz
Training Agents With Interactive Reinforcement Learning and Contextual Affordances. IEEE Trans. Cogn. Dev. Syst. 8(4): 271-284 (2016) - [c6]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Learning contextual affordances with an associative neural architecture. ESANN 2016 - [c5]Francisco Cruz
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. IROS 2016: 759-766 - 2015
- [c4]Francisco Cruz
Interactive reinforcement learning through speech guidance in a domestic scenario. IJCNN 2015: 1-8 - 2014
- [c3]Francisco Cruz
Improving reinforcement learning with interactive feedback and affordances. ICDL-EPIROB 2014: 165-170 - 2010
- [c2]Francisco Cruz Naranjo
Indirect Training with Error Backpropagation in Gray-Box Neural Model: Application to a Chemical Process. SCCC 2010: 265-269
2000 – 2009
- 2007
- [c1]Francisco Cruz
Indirect Training of Grey-Box Models: Application to a Bioprocess. ISNN (2) 2007: 391-397
Coauthor Index
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last updated on 2024-09-14 23:51 CEST by the dblp team
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