Man

Francisco Cruz

Research Fellow

Deakin University

Geelong, Australia

Líneas de Investigación


Artificial Intelligence, Artificial Neural Networks, Machine Learning, Cognitive and Developmental Robotic, Bioinspired Models, Reinforcement Learning, Contextual Affordances, Dynamic Models, Grey Box Neural Models, Interactive Reinforcement Learning

Educación

  •  Computer Science, UNIVERSITAT HAMBURG. Alemania, 2017
  •  Computer Engineering, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2006
  •  Engineering Science, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 2004

 

Article (5)

Improving interactive reinforcement learning: What makes a good teacher?

Cruz F.; Magg, S; Wermter, S

Article ISI SCOPUS
CONNECTION SCIENCE  (2018)

Multi-modal Integration of Dynamic Audiovisual Patterns for an Interactive Reinforcement Learning Scenario

Cruz, Francisco; Parisi, German I.; Twiefel, Johannes; Wermter, Stefan; IEEE

Article ISI
2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016)  (2016)

Special Issue on SBio-inspired Social Robot Learning in Home Scenarios



Article
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS  (2016)

Training Agents With Interactive Reinforcement Learning and Contextual Affordances

Cruz, Francisco; Magg, Sven; Weber, Cornelius

Article ISI
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS  (2016)

Improving Reinforcement Learning with Interactive Feedback and Affordances

Cruz, Francisco; IEEE

Article ISI
FOUTH JOINT IEEE INTERNATIONAL CONFERENCES ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (IEEE ICDL-EPIROB 2014)  (2014)

ConferencePaper (6)

Action Selection Methods in a Robotic Reinforcement Learning Scenario



ConferencePaper SCOPUS
Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018  (2019)

Agent-advising approaches in an interactive reinforcement learning scenario

Cruz F.; Wuppen P.; Fazrie A.

ConferencePaper SCOPUS
Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018  (2018)

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning

Parisi G.I.

ConferencePaper SCOPUS
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society  (2018)

Indirect training with error backpropagation in gray-box neural model: Application to a chemical process



ConferencePaper SCOPUS
Proceedings - International Conference of the Chilean Computer Science Society, SCCC  (2011)

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

Cruz F.; Acuna G.; Cubillos F.; Moreno V.; Bassi D.

ConferencePaper ISI
PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, IWAIPR 2018  (2007)

Identifiability of time varying parameters in a Grey-Box Neural Model: Application to a biotechnological process

Acuna G.; Cruz F.; Moreno V.

ConferencePaper ISI
FOODSIM '2006: 4TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELLING IN THE FOOD AND BIO-INDUSTRY  (2006)

1
FRANCISCO CUBILLOS

Head

UNIVERSIDAD DE SANTIAGO DE CHILE

SANTIAGO, Chile

2
Gonzalo Acuña

Profesor Titular

Ingenieria Informatica

Universidad de Santiago de Chile

Santiago, Chile

11
Francisco Cruz

Research Fellow

Deakin University

Geelong, Australia