activity
20172026
most citedSpeeding up reinforcement learning by combining attention and agency features

1 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.MA2026

Emergence of agriculture in an artificial society of reinforcement learning agents

Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier +1

The origin of agriculture represents a major evolutionary transition and a paradigmatic example of how complex collective behaviors emerge from simple interactions. Here we introdu…

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.MA2022

Cooperative control of environmental extremes by artificial intelligent agents

Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé

Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innova…

cs.AI2019★ 1 cited

Individual specialization in multi-task environments with multiagent reinforcement learners

Marco Jerome Gasparrini, Ricard Solé, Martí Sánchez-Fibla

There is a growing interest in Multi-Agent Reinforcement Learning (MARL) as the first steps towards building general intelligent agents that learn to make low and high-level decisi…

cs.AI2019

Loss aversion fosters coordination among independent reinforcement learners

Marco Jerome Gasparrini, Martí Sánchez-Fibla

We study what are the factors that can accelerate the emergence of collaborative behaviours among independent selfish learning agents. We depart from the "Battle of the Exes" (BoE)…

cs.LG2019★ 1 cited

Speeding up reinforcement learning by combining attention and agency features

Berkay Demirel, Martí Sánchez-Fibla

When playing video-games we immediately detect which entity we control and we center the attention towards it to focus the learning and reduce its dimensionality. Reinforcement Lea…

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…

cs.AI2017

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…

q-bio.NC2017

The Morphospace of Consciousness

Xerxes D. Arsiwalla, Ricard Sole, Clement Moulin-Frier +3

We construct a complexity-based morphospace to study systems-level properties of conscious & intelligent systems. The axes of this space label 3 complexity types: autonomous, cogni…

cs.AI2017

Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework

Clément Moulin-Frier, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla +2

In this paper, we argue that the future of Artificial Intelligence research resides in two keywords: integration and embodiment. We support this claim by analyzing the recent advan…