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Are Genetic Algorithms suitable for problems like the Knuth problem?

genetic-algorithms evolutionary-algorithms genetic-programming norvig-russell

modified 8 mins ago nbro♦ 23.8k

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Does a converging (deep) neural network exist for every possible training data?

neural-networks

modified 1 hour ago John Doe 133

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Why state-action value function as an expected value of the return and state value function, does not need to follow policy?

reinforcement-learning bellman-equations

modified 2 hours ago David Ireland 2,862

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What is the difference between return and expected return?

reinforcement-learning comparison q-learning return expectation

modified 3 hours ago nbro♦ 23.8k

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What method to identify markers in data series via machine learning

pattern-recognition time-series

modified 3 hours ago Community♦ 1

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CSP heuristic to simultaneously reduce conflicts and find near optimal assignment

heuristics constraint-satisfaction-problems local-search

modified 3 hours ago nbro♦ 23.8k

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How can neural networks approximate any continuous function but have $\mathcal{VC}$ dimension only proportional to their number of parameters?

comparison computational-learning-theory vc-dimension universal-approximation-theorems

modified 4 hours ago nbro♦ 23.8k

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What is the difference between hypothesis space and representational capacity?

machine-learning terminology computational-learning-theory hypothesis-class capacity

modified 4 hours ago nbro♦ 23.8k

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How to estimate the capacity of a neural network?

neural-networks deep-learning computational-learning-theory vc-dimension capacity

modified 4 hours ago nbro♦ 23.8k

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Gradient Based Inverse Reinforcement Learning

reinforcement-learning gradient-descent inverse-rl

modified 4 hours ago ИванКарамазов 11

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Are there any rules of thumb for having some idea of what capacity a neural network needs to have for a given problem?

neural-networks computational-learning-theory regularization vc-dimension capacity

modified 4 hours ago nbro♦ 23.8k

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Is the VC Dimension meaningful in the context of Reinforcement Learning?

machine-learning reinforcement-learning computational-learning-theory vc-dimension vc-theory

modified 4 hours ago nbro♦ 23.8k

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If a neural network is a universal function approximator, can it have any prior beliefs?

neural-networks computational-learning-theory universal-approximation-theorems vc-theory no-free-lunch-theorems

modified 4 hours ago DuttaA 5,127

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For binary classification learning problems, how should I label instances where I'm only 60% sure?

neural-networks classification data-labelling

asked 5 hours ago Alexander Soare 935

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