[HTML][HTML] Quality–diversity optimization of decision trees for interpretable reinforcement learning

A Ferigo, LL Custode, G Iacca - Neural Computing and Applications, 2023 - Springer
Abstract In the current Artificial Intelligence (AI) landscape, addressing explainability and
interpretability in Machine Learning (ML) is of critical importance. In fact, the vast majority of …

Understanding fitness landscapes in morpho-evolution via local optima networks

SL Thomson, LKL Goff, E Hart, E Buchanan - arXiv preprint arXiv …, 2024 - arxiv.org
Morpho-evolution (ME) refers to the simultaneous optimisation of a robot's design and
controller to maximise performance given a task and environment. Many genetic encodings …

Harnessing the Power of Collective Intelligence: the Case Study of Voxel-based Soft Robots

F Pigozzi - 2024 - arts.units.it
Abstract The field of Evolutionary Robotics (ER) is concerned with the evolution of artificial
agents---robots. Albeit groundbreaking, progress in the field has recently stagnated. In the …

[图书][B] Effects of Morphology on Genetic Assimilation of Learned Behavior

NL Tolley - 2023 - search.proquest.com
The Baldwin effect is an evolutionary theory regarding the assimilation of ontogenetic
changes into a population's genome via selection pressure to entrench beneficial …

Totipotent Neural Controllers for Modular Soft Robots: Achieving Specialization in Body-Brain Co-Evolution Through Hebbian Learning

A Ferigo, G Iacca, E Medvet, G Nadizar - Available at SSRN 4698805 - papers.ssrn.com
Multi-cellular organisms typically originate from a single cell, the zygote, that then develops
into a multitude of structurally and functionally specialized cells. The potential of generating …