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Enhanced Optimization with Composite Objectives and Novelty Pulsation
This paper improves this approach further by introducing novelty pulsation, i. e. a systematic method to alternate between novelty selection and local optimization.
Information-Theoretic Bounded Rationality
Bounded rationality, that is, decision-making and planning under resource limitations, is widely regarded as an important open problem in artificial intelligence, reinforcement learning, computational neuroscience and economics.
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