Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-
level control in many sequential decision-making problems, yet many open challenges still …

The concept of evolvability, that is the capacity to produce heritable and adaptive phenotypic
variation, is crucial in the current understanding of evolution. However, while its meaning is …

The evolution of living beings with continuous and consistent progress toward adaptation
and ways to model evolution along principles as close as possible to Darwin's are important …

Evolvability refers to the ability of an individual genotype (solution) to produce offspring with
mutually diverse phenotypes. Recent research has demonstrated that divergent search …

In this paper, we survey the use of additional biologically inspired mechanisms, principles,
and concepts in the area of evolutionary reinforcement learning (ERL). While recent years …

This paper investigates a novel method combining Scalable Evolution Strategies (S-ES) and
Hierarchical Reinforcement Learning (HRL). S-ES, named for its excellent scalability, was …

Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-
level control in many sequential decision-making problems, yet many open challenges still …

Scientists have been in awe of the powers of evolution since comprehending the
fundamental principles of natural selection. As Darwin eloquently put it, nature has given …

Hierarchical reinforcement learning (HRL) has been steadily growing in popularity for
solving the hardest reinforcement learning problems. However, current HRL algorithms are …

This paper investigates the performance of Scalable Evolution Strategies (S-ES) as a
Hierarchical Reinforcement Learning (HRL) approach. S-ES, named for its excellent …