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20182026
most citedModeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control

9 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MA2026

Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies

Nikolaos Al. Papadopoulos, Ismael Tito Freire, Marti Sanchez-Fibla +1

Many multi-agent games and simulated environments involve several independent, often learning, agents repeatedly competing for a shared resource. Conventional fairness measures ass…

cs.AI2024

High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence

Ismael T. Freire, Paul Verschure

Social learning, a cornerstone of cultural evolution, enables individuals to acquire knowledge by observing and imitating others. At the heart of its efficacy lies episodic memory,…

cs.AI2024★ 2 cited

Discretization of continuous input spaces in the hippocampal autoencoder

Adrian F. Amil, Ismael T. Freire, Paul F. M. J. Verschure

The hippocampus has been associated with both spatial cognition and episodic memory formation, but integrating these functions into a unified framework remains challenging. Here, w…

cs.LG2021

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…

cs.AI2020

Towards sample-efficient episodic control with DAC-ML

Ismael T. Freire, Adrián F. Amil, Vasiliki Vouloutsi +1

The sample-inefficiency problem in Artificial Intelligence refers to the inability of current Deep Reinforcement Learning models to optimize action policies within a small number o…

cs.MA2019★ 9 cited

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…

cs.MA2018

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…