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Andrea Tacchetti

Showing results (1-10 of 10) with videos related to

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Journal of Neurophysiology|November 10, 2017
A fast, invariant representation for human action in the visual systemLeyla Isik, Andrea Tacchetti, Tomaso Poggio
Plos Computational Biology|December 19, 2017
Invariant recognition drives neural representations of action sequencesAndrea Tacchetti, Leyla Isik, Tomaso Poggio
Annual Review of Vision Science|July 28, 2018
Invariant Recognition Shapes Neural Representations of Visual InputAndrea Tacchetti, Leyla Isik, Tomaso A Poggio
Scientific Reports|October 8, 2022
Designing all-pay auctions using deep learning and multi-agent simulationIan Gemp, Thomas Anthony, Janos Kramar, et al.
Nature Communications|December 6, 2022
Negotiation and honesty in artificial intelligence methods for the board game of DiplomacyJános Kramár, Tom Eccles, Ian Gemp, et al.
Nature Human Behaviour|September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learningKevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
Nature Human Behaviour|July 5, 2022
Human-centred mechanism design with Democratic AIRaphael Koster, Jan Balaguer, Andrea Tacchetti, et al.
Nature Human Behaviour|August 12, 2022
Publisher Correction: Human-centred mechanism design with Democratic AIRaphael Koster, Jan Balaguer, Andrea Tacchetti, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Neurophysiology|November 10, 2017
A fast, invariant representation for human action in the visual systemLeyla Isik, Andrea Tacchetti, Tomaso Poggio
Plos Computational Biology|December 19, 2017
Invariant recognition drives neural representations of action sequencesAndrea Tacchetti, Leyla Isik, Tomaso Poggio
Annual Review of Vision Science|July 28, 2018
Invariant Recognition Shapes Neural Representations of Visual InputAndrea Tacchetti, Leyla Isik, Tomaso A Poggio
Scientific Reports|October 8, 2022
Designing all-pay auctions using deep learning and multi-agent simulationIan Gemp, Thomas Anthony, Janos Kramar, et al.
Nature Communications|December 6, 2022
Negotiation and honesty in artificial intelligence methods for the board game of DiplomacyJános Kramár, Tom Eccles, Ian Gemp, et al.
Nature Human Behaviour|September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learningKevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
Nature Human Behaviour|July 5, 2022
Human-centred mechanism design with Democratic AIRaphael Koster, Jan Balaguer, Andrea Tacchetti, et al.
Nature Human Behaviour|August 12, 2022
Publisher Correction: Human-centred mechanism design with Democratic AIRaphael Koster, Jan Balaguer, Andrea Tacchetti, et al.
Pageof 1