Promoting Reproductive Isolation Through Diversity in On-line Collective Robotics

Amine Boumaza (1)

1 LARSEN - Lifelong Autonomy and interaction skills for Robots in a Sensing ENvironment

We present a behavioral diversity selection scheme that favors reproductive isolation to promote the learning of multiple task in on-line embodied evolutionary robotics (EER). The scheme estimates the behavior of the controllers without the need to access the agent experience, respecting thus the online, distributed properties EER. Reproductive isolation is assessed through coalescence trees and task specialization is tested on a concurrent foraging setting.

Domaines: Intelligence artificielle [cs.AI]

Amine Boumaza. Promoting Reproductive Isolation Through Diversity in On-line Collective Robotics. GECCO 2021 - Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille/Virtual, France. pp.85. ⟨hal-03198552⟩