Dr Francisco Cruz

STAFF PROFILE

Position

Research Fellow in Reinforcement Learning

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Contact

Publications

Filter by

2020

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

Ithan Moreira, Javier Rivas, Francisco Cruz Naranjo, Richard Dazeley, Angel Ayala, Bruno Fernandes

(2020), Vol. 10, pp. 1-16, Applied Sciences, Basel, Switzerland, C1

journal article

Unmanned aerial vehicle control through domain-based automatic speech recognition

R Contreras, A Ayala, F Cruz Naranjo

(2020), Vol. 9, pp. 1-15, Computers, Basel, Switzerland, C1

journal article
2019

Reinforcement learning using continuous states and interactive feedback

A Ayala, C Henrquez, F Cruz Naranjo

(2019), pp. 1-5, APPIS 19 : Proceedings of the 2nd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, E1-1

conference

Human feedback in continuous actor-critic reinforcement learning

C Milln, B Fernandes, F Cruz Naranjo

(2019), pp. 661-666, ESANN 2019 : Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, E1-1

conference

Memory-based explainable reinforcement learning

F Cruz Naranjo, R Dazeley, P Vamplew

(2019), Vol. 11919, pp. 66-77, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference

Lightweight and efficient octave convolutional neural network for fire recognition

A Ayala, E Lima, B Fernandes, B Bezerra, F Cruz Naranjo

(2019), pp. 1-6, LA-CCI 2019 : Proceedings of the IEEE Latin American Conference on Computational Intelligence, Guayaquil, Ecuador, E1

conference
2018

Improving interactive reinforcement learning: what makes a good teacher?

F Cruz Naranjo, S Magg, Y Nagai, S Wermter

(2018), Vol. 30, pp. 306-325, Connection science, Abingdon, Eng., C1-1

journal article

Action selection methods in a robotic reinforcement learning scenario

F Cruz Naranjo, P Wuppen, A Fazrie, C Weber, S Wermter

(2018), pp. 1-6, LA-CCI : Proceedings of the 2018 IEEE Latin American Conference on Computational Intelligence, Gudalajara, Mexico, E1-1

conference

Multi-modal feedback for affordance-driven interactive reinforcement learning

F Cruz Naranjo, G Parisi, S Wermter

(2018), pp. 1-8, IJCNN 2018 : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1-1

conference
2017

Agent-advising approaches in an interactive reinforcement learning scenario

F Cruz Naranjo, P Wuppen, S Magg, A Fazrie, S Wermter

(2017), pp. 209-214, IEEE ICDL-EPIROB 2017 : Proceedings of the 7th Joint International Confernce on Development and Learning and on Epigenetic Robotics 2017, Lisbon, Portugal, E1-1

conference
2016

Training agents with interactive reinforcement learning and contextual affordances

F Cruz Naranjo, S Magg, C Weber, S Wermter

(2016), Vol. 8, pp. 271-284, IEEE transactions on cognitive and developmental systems, Piscataway, N.J., C1-1

journal article

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

F Cruz Naranjo, G Parisi, J Twiefel, S Wermter

(2016), pp. 759-766, IROS 2016 : Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, South Korea, E1-1

conference
2015

Interactive reinforcement learning through speech guidance in a domestic scenario

F Cruz Naranjo, J Twiefel, S Magg, C Weber, S Wermter

(2015), pp. 1-8, IJCNN 2015 : Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1-1

conference
2014

Improving reinforcement learning with interactive feedback and affordances

F Cruz Naranjo, S Magg, C Weber, S Wermter

(2014), pp. 165-170, IEEE ICDL-EPIROB 2014 : Proceedings of the 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2014, Genoa, Italy, E1-1

conference
2007

Indirect training of grey-box models: application to a bioprocess

F Cruz, G Acua, F Cubillos, V Moreno, D Bassi

(2007), Vol. 4492 LNCS, pp. 391-397, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report