Francisco Cruz
Título
Citado por
Citado por
Ano
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
492016
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
382015
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
252016
Improving interactive reinforcement learning: What makes a good teacher?
F Cruz, S Magg, Y Nagai, S Wermter
Connection Science 30 (3), 306-325, 2018
122018
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
122014
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
102018
Indirect training with error backpropagation in Gray-Box Neural Model: application to a chemical process
F Cruz, G Acuña
Chilean Computer Science Society (SCCC), 2010 XXIX International Conference …, 2010
9*2010
Indirect training of grey-box models: application to a bioprocess
F Cruz, G Acuña, F Cubillos, V Moreno, D Bassi
International Symposium on Neural Networks, 391-397, 2007
82007
Objetivos de la Investigación
F Cruz
72003
Learning Contextual Affordances with an Associative Neural Architecture
F Cruz, GI Parisi, S Wermter
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
6*2016
Memory-Based Explainable Reinforcement Learning
F Cruz, R Dazeley, P Vamplew
Australasian Joint Conference on Artificial Intelligence, 66-77, 2019
52019
iCub: Learning Emotion Expressions using Human Reward
N Churamani, F Cruz, S Griffiths, P Barros
5*2016
Identifiability of Time varying Parameters in a Grey-Box Neural Model: Application to a Biotechnological Process
G Acuña, F Cruz, V Moreno
Biannual Foodsim Conference, University of Naples Federico II, Naples, Italy, 2006
52006
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
42020
Human feedback in continuous actor-critic reinforcement learning
C Millán, B Fernandes, F Cruz
27th European Symposium on Artificial Neural Networks, Computational …, 2019
42019
Agent-advising approaches in an interactive reinforcement learning scenario
F Cruz, P Wüppen, S Magg, A Fazrie, S Wermter
2017 Joint IEEE International Conference on Development and Learning and …, 2017
42017
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario
F Cruz, R Dazeley, P Vamplew
arXiv e-prints, arXiv: 2006.13615, 2020
32020
Action Selection Methods in a Robotic Reinforcement Learning Scenario
F Cruz, P Wüppen, A Fazrie, C Weber, S Wermter
2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2018
32018
Entrenamiento Indirecto de Modelos de Caja Gris Utilizando Levenberg-Marquardt en Matlab
F Cruz, G Acuña
VI Chilean Congress on Higher Education in Computer Science CCESC, 2005
32005
Reinforcement learning using continuous states and interactive feedback
A Ayala, C Henríquez, F Cruz
Proceedings of the 2nd International Conference on Applications of …, 2019
22019
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