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1500 questions
5
votes
1 answer
Why did AlphaGo lose its Go game?
We can read on wiki page that in March 2016 AlphaGo AI lost its game (1 of 5) to Lee Sedol, a professional Go player. One article cite says:
AlphaGo lost a game and we as researchers want to explore that and find out what went wrong. We need to…
kenorb
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5
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4 answers
Is reinforcement learning needed to create Strong AI?
By reinforcement learning, I don't mean the class of machine learning algorithms such as DeepQ, etc. I have in mind the general concept of learning based on rewards and punishment.
Is it possible to create a Strong AI that does not rely on learning…
bpachev
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Why do zero-sum perfect information games satisfy the conditions of Von Neumann's theorem?
The Von Neumann's Minimax theorem gives the conditions that make the max-min inequality an equality.
I understand the max-min inequality, basically min(max(f))>=max(min(f)).
The Von Neumann's theorem states that, for the inequality to become an…
dontloo
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Is recursion used in practice to improve performance of AI systems?
Is there any methods by which artificial intelligence use recursion(s) to solve a certain issue or to keep up working and calculating?
Zoltán Schmidt
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1 answer
Examples of ontologies made with AI
I'm looking for more or less successful artificial intelligence usage examples to build an ontology or rationale why it can't be done. I found a lot of articles on how to use ontologies for AI, but not succeded vice versa.
AndriuZ
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5
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1 answer
How can thousand-robot swarm coordinate their moves without bumping into each other?
How can a swarm of small robots (like Kilobots) walking close to each other achieve collaboration without bumping into each other? For example, one study shows programmable self-assembly in a thousand-robot swarm (see article & video) which are…
kenorb
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5
votes
1 answer
Why are model-based methods more sample efficient than model-free methods?
Why do model-based methods use fewer samples than model-free methods? Here, I'm specifically referring to model-based methods in which we have to learn a policy and model. I can only think of two reasons for this question:
We can potentially obtain…
Maybe
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Can exogenous variables be state features in reinforcement learning?
I have a question about state representation of Q-learning or DQN algorithm.
I'm still a beginner of RL, so I'm not sure that is it suitable to take exogenous variables as state features.
For example, in my current project, deciding to…
JH Lee
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5
votes
1 answer
Is it effective to concatenate the results of mean-pooling and max-pooling?
Is it popular or effective to concatenate the results of mean-pooling and max-pooling, to get the invariance of the latter and the expressivity of the former?
user3180
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3 answers
What should we do when we have equal observations with different labels?
Suppose we have a labeled data set with columns $A$, $B$, and $C$ and a binary outcome variable $X$. Suppose we have rows as follows:
col A B C X
1 1 2 3 1
2 4 2 3 0
3 6 5 1 1
4 1 2 3 0
Should we throw away either row 1 or row 4…
guest_guy
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5
votes
3 answers
Do specific units exists for measuring the intelligence of a machine?
We can measure the power of the machine with the number of operation per second or the frequency of the processor. But does units similar of IQ for humans exist for a AI?
I'm asking for a unit which can give countable result so something different…
latmos
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5
votes
2 answers
Is it possible to control asymptotic behaviour of neural network models?
Is it possible to specify what the asymptotic behaviour of a Neural Networks (NN) model should be?
I am thinking of a NN which tries to learn a mapping $\vec y=f(\vec x)$ with $\vec x$ a vector of features of dimension $d$ and $\vec y$ a vector of…
Ken Grimes
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5
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4 answers
Why isn't conditional probability sufficient to describe causality?
I read these comments from Judea Pearl saying we don't have causality, physical equations are symmetric, etc. But the conditional probability is clearly not symmetric and captures directed relationships.
How would Pearl respond to someone saying…
user3180
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5
votes
3 answers
Preventing bias by not providing irrelevant data
This seems like such a simple idea, but I've never heard anyone that has addressed it, and a quick Google revealed nothing, so here it goes.
The way I learned about machine learning is that it recognizes patterns in data, and not necessarily ones…
Levi Lesches
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5
votes
2 answers
In a neural network, by how much does the number of neurons typically vary from layer to layer?
In a neural network, by how much does the number of neurons typically vary from layer to layer?
Note that I am NOT asking how to find the optimal number of neurons per layer.
As a hardware design engineer with no practical experience programming…
Angela Johnson
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