162 citations · 390 across the 28 of their papers we have counts for
9 papers · 1 filter
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features
A. Zonta, S. K. Smit, A. E. Eiben
Modelling realistic human behaviours in simulation is an ongoing challenge that resides between several fields like social sciences, philosophy, and artificial intelligence. Human…
Learning Locomotion Skills in Evolvable Robots
Gongjin Lan, Maarten van Hooft, Matteo De Carlo +2
The challenge of robotic reproduction -- making of new robots by recombining two existing ones -- has been recently cracked and physically evolving robot systems have come within r…
Population-based Optimization for Kinetic Parameter Identification in Glycolytic Pathway in Saccharomyces cerevisiae
Ewelina Weglarz-Tomczak, Jakub M. Tomczak, Agoston E. Eiben +1
Models in systems biology are mathematical descriptions of biological processes that are used to answer questions and gain a better understanding of biological phenomena. Dynamic m…
EVO-RL: Evolutionary-Driven Reinforcement Learning
Ahmed Hallawa, Thorsten Born, Anke Schmeink +6
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL…
Environmental regulation using Plasticoding for the evolution of robots
Karine Miras, Eliseo Ferrante, A. E. Eiben
Evolutionary robot systems are usually affected by the properties of the environment indirectly through selection. In this paper, we present and investigate a system where the envi…
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stephane Doncieux, Nicolas Bredeche, Léni Le Goff +9
Robots are still limited to controlled conditions, that the robot designer knows with enough details to endow the robot with the appropriate models or behaviors. Learning algorithm…