no code implementations • 2 Feb 2023 • Dmytro Grytskyy, Jorge Ramírez-Ruiz, Rubén Moreno-Bote
Previous work has separately addressed different forms of action, state and action-state entropy regularization, pure exploration and space occupation.
1 code implementation • 20 May 2022 • Jorge Ramírez-Ruiz, Dmytro Grytskyy, Chiara Mastrogiuseppe, Yamen Habib, Rubén Moreno-Bote
Most theories of behavior posit that agents tend to maximize some form of reward or utility.
1 code implementation • 2 Feb 2021 • Jorge Ramírez-Ruiz, Rubén Moreno-Bote
We show that the effective sampling capacity of an agent increases with both available time and the discriminability of the options, and optimal policies undergo a sharp transition as a function of it.
no code implementations • 7 Jun 2018 • Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González-Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Nuria Sebastian, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold
The workshop gathered an interdisciplinary group of experts to establish the state of the art research in the field and a list of future research challenges to be addressed on the topic of human and machine intelligence, algorithm's potential impact on human cognitive capabilities and decision making, and evaluation and regulation needs.