Collaborators: Alberto Sardinha, Francisco S. Melo, João Ribeiro
Keywords:
Description
Grant from the Air Force Office of Scientific Research (U.S.A.)
Award Number: FA9550-19-1-0020
This project explores cutting-edge research on ad hoc teamwork, symbiotic interactions and natural language processing in human-robot interaction. The project aims to go beyond the typical “master-slave” and “one-robot-one-human” type of interaction, hence making key contributions to the current state-of-the-art in terms of human-robot interaction. This research project is funded by the Air Force Office of Scientific Research (USA) and we work in collaboration with PUC-Rio (Brazil).
Feed-in Tariff Contract Schemes and Regulatory Uncertainty Luciana Barbosa and Claudia Nunes and Artur Rodrigues and Alberto Sardinha, European Journal of Operational Research, Elsevier, 2020 |
Query Strategies, Assemble! Active Learning with Expert Advice for Low-resource Natural Language Processing Vânia Mendonça and Alberto Sardinha and Luísa Coheur and Ana Lúcia Santos, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), July, 2020 |
Análise Estatística de Dados Financeiros Cláudia Nunes and Conceição Amado and Alberto Sardinha |
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning João G. Ribeiro and Francisco S. Melo and João Dias, 5th Global Conference on Artificial Intelligence, pg. 163-175, December, 2019 |