6 citations · 9 across the 4 of their papers we have counts for
9 papers
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…
Grounding Spatio-Temporal Language with Transformers
Tristan Karch, Laetitia Teodorescu, Katja Hofmann +2
Language is an interface to the outside world. In order for embodied agents to use it, language must be grounded in other, sensorimotor modalities. While there is an extended liter…
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti, Clément Moulin-Frier
Recent advances in Artificial Intelligence (AI) have revived the quest for agents able to acquire an open-ended repertoire of skills. However, although this ability is fundamentall…
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization
Clément Moulin-Frier, Jules Brochard, Freek Stulp +1
Infant vocal babbling strongly relies on jaw oscillations, especially at the stage of canonical babbling, which underlies the syllabic structure of world languages. In this paper,…
Deep Sets for Generalization in RL
Tristan Karch, Cédric Colas, Laetitia Teodorescu +2
This paper investigates the idea of encoding object-centered representations in the design of the reward function and policy architectures of a language-guided reinforcement learni…
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Cédric Colas, Tristan Karch, Nicolas Lair +4
Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, sele…