Daniel Majoral

According to our database, Daniel Majoral authored at least 4 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente

CoRR, 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra

Proceedings of the International Conference on Machine Learning, 2023

2020

A model for time interval learning in the Purkinje cell.

Daniel Majoral, Ajmal Zemmar, Raul Vicente

PLoS Comput. Biol., 2020

2018

Do deep reinforcement learning agents model intentions?

Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente

CoRR, 2018