—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
In this paper a new learning algorithm is proposed with the purpose of texture segmentation. The algorithm is a competitive clustering scheme with two specific features: elliptic...
Abstract— We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strat...
The content of information security curricula spans a wide array of topics. Because of this variety, a program needs to focus on some particular aspect and provide appropriate dep...