3 citations · 9 across the 10 of their papers we have counts for
10 papers
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…
Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
Sina Khajehabdollahi, Gautier Hamon, Marko Cvjetko +3
Discovering diverse visual patterns in continuous cellular automata (CA) is challenging due to the vastness and redundancy of high-dimensional behavioral spaces. Traditional explor…
Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3
Central to the artificial life endeavour is the creation of artificial systems spontaneously generating properties found in the living world such as autopoiesis, self-replication,…
Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics
Thomas Michel, Marko Cvjetko, Gautier Hamon +2
We present a curiosity-driven AI scientist method for discovering system-level dynamics in Flow-Lenia, a continuous cellular automaton (CA) with mass conservation and parameter loc…
Emergent kin selection of altruistic feeding via non-episodic neuroevolution
Max Taylor-Davies, Gautier Hamon, Timothé Boulet +1
Kin selection theory has proven to be a popular and widely accepted account of how altruistic behaviour can evolve under natural selection. Hamilton's rule, first published in 1964…
Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
Gautier Hamon, Mayalen Etcheverry, Bert Wang-Chak Chan +2
The research field of Artificial Life studies how life-like phenomena such as autopoiesis, agency, or self-regulation can self-organize in computer simulations. In cellular automat…
Evolving Reservoirs for Meta Reinforcement Learning
Corentin Léger, Gautier Hamon, Eleni Nisioti +2
Animals often demonstrate a remarkable ability to adapt to their environments during their lifetime. They do so partly due to the evolution of morphological and neural structures.…
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning
Richard Bornemann, Gautier Hamon, Eleni Nisioti +1
Recent works have proven that intricate cooperative behaviors can emerge in agents trained using meta reinforcement learning on open ended task distributions using self-play. While…
Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3
The design of complex self-organising systems producing life-like phenomena, such as the open-ended evolution of virtual creatures, is one of the main goals of artificial life. Len…
Autotelic Reinforcement Learning in Multi-Agent Environments
Eleni Nisioti, Elías Masquil, Gautier Hamon +1
In the intrinsically motivated skills acquisition problem, the agent is set in an environment without any pre-defined goals and needs to acquire an open-ended repertoire of skills.…