19 citations · 34 across the 10 of their papers we have counts for
13 papers
Sequential memory improves sample and memory efficiency in Episodic Control
Ismael T. Freire, Adrián F. Amil, Paul F. M. J. Verschure
State of the art deep reinforcement learning algorithms are sample inefficient due to the large number of episodes they require to achieve asymptotic performance. Episodic Reinforc…
Distributed Adaptive Control: An ideal Cognitive Architecture candidate for managing a robotic recycling plant
Oscar Guerrero-Rosado, Paul Verschure
In the past decade, society has experienced notable growth in a variety of technological areas. However, the Fourth Industrial Revolution has not been embraced yet. Industry 4.0 im…
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control
Ismael T. Freire, Xerxes D. Arsiwalla, Jordi-Ysard Puigbò +1
A major challenge in cognitive science and AI has been to understand how autonomous agents might acquire and predict behavioral and mental states of other agents in the course of c…
Modeling the Formation of Social Conventions from Embodied Real-Time Interactions
Ismael T. Freire, Clement Moulin-Frier, Marti Sanchez-Fibla +2
What is the role of real-time control and learning in the formation of social conventions? To answer this question, we propose a computational model that matches human behavioral d…
Measuring the Complexity of Consciousness
Xerxes D. Arsiwalla, Paul Verschure
The quest for a scientific description of consciousness has given rise to new theoretical and empirical paradigms for the investigation of phenomenological contents as well as clin…
A correlational analysis of multiagent sensorimotor interactions: clustering autonomous and controllable entities
M. Sánchez-Fibla, C. Moulin-Frier, X. Arsiwalla +1
A first step to reach Theory of Mind (ToM) abilities (attribution of beliefs to others) in synthetic agents through sensorimotor interactions, would be to tag sensory data with age…