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Francisco Cruz
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Cited by
Year
Training Agents with Interactive Reinforcement Learning and Contextual Affordances
F Cruz, S Magg, C Weber, S Wermter
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2016
852016
Levels of explainable artificial intelligence for human-aligned conversational explanations
R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz
Artificial Intelligence 299, 103525, 2021
712021
Interactive reinforcement learning through speech guidance in a domestic scenario
F Cruz, J Twiefel, S Magg, C Weber, S Wermter
2015 International Joint Conference on Neural Networks (IJCNN), 1341-1348, 2015
692015
Improving interactive reinforcement learning: What makes a good teacher?
F Cruz, S Magg, Y Nagai, S Wermter
Connection Science 30 (3), 306-325, 2018
392018
Deep Reinforcement Learning with Interactive Feedback in a Human–Robot Environment
I Moreira, J Rivas, F Cruz, R Dazeley, A Ayala, B Fernandes
Applied Sciences 10 (16), 5574, 2020
382020
Memory-based explainable reinforcement learning
F Cruz, R Dazeley, P Vamplew
AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint†…, 2019
352019
Explainable reinforcement learning for broad-xai: a conceptual framework and survey
R Dazeley, P Vamplew, F Cruz
Neural Computing and Applications, 1-24, 2023
342023
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario
F Cruz, GI Parisi, J Twiefel, S Wermter
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems†…, 2016
342016
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario
F Cruz, R Dazeley, P Vamplew, I Moreira
Neural Computing and Applications, 1-18, 2021
332021
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
F Cruz, GI Parisi, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 5515--5122, 2018
292018
A Comparison of Humanoid Robot Simulators: A Quantitative Approach
A Ayala, F Cruz, D Campos, R Rubio, B Fernandes, R Dazeley
2020 Joint IEEE 10th International Conference on Development and Learning†…, 2020
272020
iCub: Learning Emotion Expressions using Human Reward
N Churamani, F Cruz, S Griffiths, P Barros
25*2016
A conceptual framework for externally-influenced agents: An assisted reinforcement learning review
A Bignold, F Cruz, ME Taylor, T Brys, R Dazeley, P Vamplew, C Foale
Journal of Ambient Intelligence and Humanized Computing, 1-24, 2021
242021
Action Selection Methods in a Robotic Reinforcement Learning Scenario
F Cruz, P WŁppen, A Fazrie, C Weber, S Wermter
2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2018
242018
Improving reinforcement learning with interactive feedback and affordances
F Cruz, S Magg, C Weber, S Wermter
4th International Conference on Development and Learning and on Epigenetic†…, 2014
212014
Persistent rule-based interactive reinforcement learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Neural Computing and Applications, 1-18, 2021
202021
Human feedback in continuous actor-critic reinforcement learning
C MillŠn, B Fernandes, F Cruz
27th European Symposium on Artificial Neural Networks, Computational†…, 2019
202019
Agent-advising approaches in an interactive reinforcement learning scenario
F Cruz, P WŁppen, S Magg, A Fazrie, S Wermter
2017 Joint IEEE International Conference on Development and Learning and†…, 2017
202017
Human engagement providing evaluative and informative advice for interactive reinforcement learning
A Bignold, F Cruz, R Dazeley, P Vamplew, C Foale
Neural Computing and Applications, 1-16, 2022
192022
Diabetic Retinopathy Improved Detection Using Deep Learning
A Ayala, T Ortiz Figueroa, B Fernandes, F Cruz
Applied Sciences 11 (24), 11970, 2021
192021
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