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1500 questions
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What does "stationary" mean in the context of reinforcement learning?
I think I've seen the expressions "stationary data", "stationary dynamics" and "stationary policy", among others, in the context of reinforcement learning. What does it mean? I think stationary policy means that the policy does not depend on time,…
Paula Vega
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Does Monte Carlo tree search qualify as machine learning?
To the best of my understanding, the Monte Carlo tree search (MCTS) algorithm is an alternative to minimax for searching a tree of nodes. It works by choosing a move (generally, the one with the highest chance of being the best), and then performing…
Inertial Ignorance
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What is the difference between artificial intelligence and computational intelligence?
Having analyzed and reviewed a certain amount of articles and questions, apparently, the expression computational intelligence (CI) is not used consistently and it is still unclear the relationship between CI and artificial intelligence…
quintumnia
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Can some one help me understand this paragraph from Nvidia's progressive GAN paper?
In the paper Progressive growing of gans for improved quality, stability, and variation (ICLR, 2018) by Nvidia researchers, the authors write
Furthermore, we observe that mode collapses traditionally
plaguing GANs tend to happen very quickly, over…
Inkplay_
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Who first coined the term Artificial Intelligence?
Who first coined the term Artificial Intelligence? Is there a published research paper that first used that term?
WilliamKF
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15
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2 answers
How can people contribute to AGI research?
Is there a way for people outside of the core research community of AGI to contribute to the cause?
There are a lot of people interested in supporting the field, but there is no clear way to do that. Is there something like BOINC for AGI researches,…
Alex
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Why do many AI bots feel the need to be know-it-alls?
Having used various AI bots often over recent months, I noticed that often it will claim to know something, even if it doesn't.
It would then either explain something which is clearly nonsense, or by rambling on about how the answer isn't known in…
ben svenssohn
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Can the IQ of an AI program be measured?
Can an AI program have an IQ? In other words, can the IQ of an AI program be measured? Like how humans can do an IQ test.
Vishnu JK
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Why is Sanskrit the best language for AI?
According to NASA scientist Rick Briggs, Sanskrit is the best language for AI. I want to know how Sanskrit is useful. What's the problem with other languages? Are they really using Sanskrit in AI programming or going to do so? What part of an AI…
Rahul
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What is the idea called involving an AI that will eventually rule humanity?
It's an idea I heard a while back but couldn't remember the name of. It involves the existence and development of an AI that will eventually rule the world and that if you don't fund or progress the AI then it will see you as "hostile" and kill you.…
Displaza
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What are the state-of-the-art results on the generalization ability of deep learning methods?
I've read a few classic papers on different architectures of deep CNNs used to solve varied image-related problems. I'm aware there's some paradox in how deep networks generalize well despite seemingly overfitting training data. A lot of people in…
Shirish
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2 answers
How should I encode the structure of a neural network into a genome?
For a deterministic problem space, I need to find a neural network with the optimal node and link structure. I want to use a genetic algorithm to simulate many neural networks to find the best network structure for the problem domain.
I've never…
Mithical
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What are the implications of the "No Free Lunch" theorem for machine learning?
The No Free Lunch (NFL) theorem states (see the paper Coevolutionary Free Lunches by David H. Wolpert and William G. Macready)
any two algorithms are equivalent when their performance is averaged across all possible problems
Is the "No Free Lunch"…
user9947
15
votes
4 answers
Why did machine learning only become viable after Nvidia's chips were available?
I listened to a talk attended by a panel consisting of two influential Chinese scientists: Wang Gang and Yu Kai, among others.
When asked about the biggest bottleneck in the development of artificial intelligence in the near future (3 to 5 years),…
Lerner Zhang
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How large should the replay buffer be?
I'm learning DDPG algorithm by following the following link: Open AI Spinning Up document on DDPG, where it is written
In order for the algorithm to have stable behavior, the replay buffer should be large enough to contain a wide range of…
ycenycute
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