Evolutionary Systems
Genetic programming (another name for evolutionary systems) creates generations of computer programs "using the principles of Darwinian natural selection and biologically inspired operations. The operations include reproduction, crossover (sexual recombination), mutation, and architecture-altering operations patterned after gene duplication and gene deletion in nature."
– Genetic Programming, Inc.
SymbolicRegressionviaNeural-GuidedGenetic ProgrammingPopulationSeeding
Neural Information Processing Systems
In this work, we introduce a hybrid neural-guided/genetic programming approach tosymbolic regression andothercombinatorial optimization problems.
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TTOpt: AMaximumVolumeQuantizedTensor Train-basedOptimizationanditsApplicationto ReinforcementLearning
Neural Information Processing Systems
The vital part of every learning-based algorithm is an optimization procedure, e.g., Stochastic Gradient Descent.
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Multi-agent Dynamic Algorithm Configuration
Neural Information Processing Systems
Unlike AC, DAC can dynamically adjust the algorithm's configuration during
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