Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Learning and evolution in neural networks
Adaptive Behavior
Creating advice-taking reinforcement learners
Machine Learning - Special issue on reinforcement learning
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Symbiotic evolution of neural networks in sequential decision tasks
Symbiotic evolution of neural networks in sequential decision tasks
R2D2 in a softball: the portable satellite assistant
Proceedings of the 5th international conference on Intelligent user interfaces
Efficient Reinforcement Learning Through Evolving Neural Network Topologies
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Robust non-linear control through neuroevolution
Robust non-linear control through neuroevolution
Evolving Soccer Keepaway Players Through Task Decomposition
Machine Learning
Active guidance for a finless rocket using neuroevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Entropy and mutual information can improve fitness evaluation in coevolution of neural networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Genetic representation and evolvability of modular neural controllers
IEEE Computational Intelligence Magazine
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The Personal Satellite Assistant (PSA) is a small robot proposed by NASA to assist astronauts who are living and working aboard the space shuttle or space station. To help the astronaut, it has to move around safely. Navigation is made difficult by the arrangement of thrusters. Only forward and leftward thrust is available and rotation will introduce translation. This paper shows how stable navigation can be achieved through neuroevolution in three basic navigation tasks: (1) Stopping autorotation, (2) Turning 90 degrees, and (3) Moving forward to a position. The results show that it is possible to learn to control the PSA stably and efficiently through neuroevolution.