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1500 questions
6
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What is the relation between an environment, a state and a model?
In particular, I would like to have a simple definition of "environment" and "state". What are the differences between those two concepts? Also, I would like to know how the concept of model relates to the other two.
There is a similar question…
Diego Orellana
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2 answers
Can we teach an artificial intelligence through sentences?
Could we teach an AI with sentences such as "ants are small" and "the sky is blue"? Is there any research work that attempts to do this?
zooby
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6
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2 answers
If the Turing test is passed, does this imply that computers exhibit intelligence?
Turing test was created to test machines exhibiting behavior equivalent or indistinguishable from that of a human. Is that the sufficient condition of intelligence?
Xitish
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6
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Is a multilayer perceptron a recursive function?
I read somewhere that a multilayer perceptron is a recursive function in its forward propagation phase. I am not sure, what is the recursive part? For me, I would see an MLP as a chained function. So, it would nice anyone could relate an MLP to a…
user3352632
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How to generalise over multiple simultaneous dependent actions in Reinforcement Learning
I am trying to build an RL agent to price paid-for-seating on commercial flights. I should reiterate here - I am not talking about the price of the ticket - rather, I am talking about the pricing you see if you click on the seat map to choose where…
domdomdom
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6
votes
2 answers
What are the available exploration strategies for continuous action space scenarios in RL?
I'm building a deep neural network to serve as the policy estimator in an actor-critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore the action space. I have read through this text…
Jed
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6
votes
1 answer
Are deep learning models suitable for training with sparse data?
I am training a generative adversarial network (GAN) to generate images given edge histogram descriptor (EHD) features of the image. The EHD features are themselves sparse (meaning they contain a lot of zeroes). While training the generator loss and…
varsh
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6
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3 answers
Does an AI exist that can write software based on a formal specification?
Does an AI exist that can automatically write software based on a formal specification of the software?
user79161
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6
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1 answer
For each epoch, can I use only on a subset of the full training dataset to train the neural network?
If one has a dataset large enough to learn a highly complex function, say learning chess game-play, and the processing time to run mini-batch gradient descent on this entire dataset is too high, can I instead do the following?
Run the algorithm on…
pranav
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Are iterative deepening, principal variation search or quiescence search extensions of alpha-beta pruning?
I know that there are several optimizations for alpha-beta pruning. For example, I have come across iterative deepening, principal variation search, or quiescence search.
However, I am a little bit confused about the nature of these algorithms.
Are…
JoeyB
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4 answers
Is 'job title classification' rather a problem of NLP or machine learning?
first of all I want to specify the data available and what needs to be achieved: I have a huge amount of vacancies (in the millions). The information about the job title and the job description of each vacancy are stored separately. I also have a…
Mr. Curious
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Why not teach to a NN not only what is true, but also what is not true?
I'm not a person who studies neural networks, or does anything that is related with that area, but I have seen a couple of seminars, videos (such as 3Blue1Brown's Series), and what I am always told is that we trying the network over some huge…
Our
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6
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Are there human predictions of when a computer would have been better than a human at Go?
I just stumbled across the paper When Will AI Exceed Human Performance?
Evidence from AI Experts, which contains a figure showing the aggregated subjective probability of "high-level machine intelligence" arrival by future years.
Even if this graph…
Gilfoyle
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6
votes
1 answer
How to prevent overfitting in stacked models?
I understand the intuition behind stacking models in machine learning, but even after thorough cross-validation scheme models seem to overfit. Most of the models I have seen in kaggle forums are large ensembles, but seem to overfit very little.
thecomplexitytheorist
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What evolutionary algorithms are there that model epigenetics?
What evolutionary algorithms are there that model or incorporate some notion of epigenetics? What are the pros/cons of those approaches? Are there vast insufficiencies or wide-open questions about their usefulness?
dynrepsys
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