… , and autonomous navigation are common tasks for robot vision … -loop vision-based controllers
evolved with ER share many properties with these RL agents. They both use NNs evolved …

… for evolving neurocontrollers of autonomous mobile robots … to several experimental results
on evolution of physical mobile … of different approaches to evolutionary robotics and present …

… , neuroevolution uses genetics algorithms to evolve the required neural nets. The advantage
of neuro-evolution … Neuroevolution will also allow the robot to learn any required task to …

… mechanisms to an evolving autonomous robot , the experiment performed by Hinton and
Nowlan has two major limitations: there is no distinction between the evolutionary and the …

… a multi-objective neuro-evolution algorithm. While adopting the … This criterion facilitates the
evolution of genes that support … experience-gain) neuroevolution approaches are evaluated …

… of research into autonomous vehicles for … autonomous vehicles will be constructed and
thus this thesis explores the use of methods to automatically produce controllers for autonomous …

… In the section that follows, we briefly describe a set of evolutionary experiments on vision-based
navigation with a neuron model that captures nonlinear dynamics of synaptic integration …

… teaching and controlling intelligent autonomous cars. Obtaining … To address this issue, this
paper performs a neuro-evolution … the proposed approach for training an autonomous vehicle. …

… and explore, evolution primed us to pursue this autonomously. The work … evolution of
learning in a biological context as well as explore how we can evolve machines to autonomously …

… to apply Neuro-Evolution specifically … : Neuro-Evolution algorithm, task difficulty and problem
exposure. A traffic simulator was developed and the hyper-parameters were used to evolve …