Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Facilitated Variation: How Evolution Learns from Past Environments To Generalize to New Environments
Varying environments can speed up evolution
Neuroevolution for reinforcement learning using evolution strategies
Evolutionary Function Approximation for Reinforcement Learning
Evolution strategies – A comprehensive introduction
Evolutionary reinforcement learning of artificial neural networks
Neuroevolution: from architectures to learning
Iterated learning and the evolution of language
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
Explanation-based generalization: A unifying view
Evolution , Neural Networks , Games , and Intelligence
Learning invariance through imitation
Toward a Theory of Evolution Strategies: Self-Adaptation
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Efficient Evolution of Neural Networks through Complexification
NeuroEvolution : The Importance of Transfer Function Evolution and Heterogeneous Networks
Analyzing Evolutionary Optimization in Noisy Environments
The evolution of general intelligence
Evolutionary self-adaptation: a survey of operators and strategy parameters
Variability discrimination in humans and animals: Implications for adaptive action
Evolutionary ensembles with negative correlation learning
Scanning Spaceborne Synthetic Aperture Radar with Integrated Radiometer
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
adaptation in natural and artificial systems .
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
Today the earwig, tomorrow man?