651 citations · 1.4k across the 19 of their papers we have counts for
5 papers · 1 filter
APES: a Python toolbox for simulating reinforcement learning environments
Aqeel Labash, Ardi Tampuu, Tambet Matiisen +2
Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents in…
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks
Patricia Wollstadt, Joseph T. Lizier, Raul Vicente +5
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using…
Do deep reinforcement learning agents model intentions?
Tambet Matiisen, Aqeel Labash, Daniel Majoral +2
Inferring other agents' mental states such as their knowledge, beliefs and intentions is thought to be essential for effective interactions with other agents. Recently, multiagent…
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru, Raul Vicente
Can deep learning (DL) guide our understanding of computations happening in biological brain? We will first briefly consider how DL has contributed to the research on visual object…
BROJA-2PID: A robust estimator for bivariate partial information decomposition
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Makkeh, Theis, and Vicente found in [8] that Cone Programming model is the most robust to compute the Bertschinger et al. partial information decompostion (BROJA PID) measure [1].…