Combinatorial optimization with reinforcement learning
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Re: Combinatorial optimization with reinforcement learning
#2I've always wondered how deep learning handles problems with well-understood time complexities.
How well does the idea of "time complexity" apply to a NN? Since we aren't performing a series of operations with a NN, we are just passing values through a mesh of neurons, right?
Would we ever know if a NN "found" a way to solve a certain problem in a more efficient time complexity than what we currently understood? Can the "time complexity" concept evne apply to a NN?
Re: Combinatorial optimization with reinforcement learning
#3I've always wondered how deep learning handles problems with well-understood time complexities. How well does the idea of "time complexity" apply to a NN? Since we aren't performing a series of operations with a NN, we are just passing values through a mesh of neurons, right? Would we ever know if a NN "found" a way to solve a certain problem in a more efficient time complexity than what we currently understood? Can…
Can't a neural network only ever achieve an O(1) time approximation of an NP hard problem? Unless you're using it as a heuristic inside some broader search algorithm.