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1500 questions
5
votes
1 answer
Which artificial intelligence algorithms could use tensor specific hardware?
AI algorithms involving neural networks can use tensor specific hardware. Are there any other artificial intelligence algorithms that could benefit from many tensor calculations in parallel? Are there any other computer science algorithms (not part…
bob smith
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5
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1 answer
Neural networks of arbitrary/general topology?
Usually neural networks consist from layers, but is there research effort that tries to investigate more general topologies for connections among neurals, e.g. arbitrary directed acyclic graphs (DAGs).
I guess there can be 3 answers to my…
TomR
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5
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Can a crossover result in a node with no outgoing connections?
I'm currently implementing the original NEAT algorithm in Swift.
Looking at figure 4 in Stanley's original paper, it seems to me there is a chance that node 5 will have no (enabled) outgoing connection if parent 1 is assumed the fittest parent and…
Daniël
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5
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2 answers
What part of the game is the value network trained to predict a winner on?
The Alpha Zero (as well as AlphaGo Zero) papers say they trained the value head of the network by "minimizing the error between the predicted winner and the game winner" throughout its many self-play games. As far as I could tell, further…
chessprogrammer
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5
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2 answers
Snake game: snake converges to going in the same direction every time
This is a q-learning snake using a neural network as a q function aproximator and I'm losing my mind here the current model it's worst than the initial one.
The current model uses a 32x32x32 MLPRegressor from scikit-learn using relu as activation…
oren revenge
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5
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10 answers
Does AI rely on determinism?
I don’t believe in free will, but most people do. Although I’m not sure how an act of free will could even be described (let alone replicated), is libertarian freewill something that is considered for AI? Or is AI understood to be deterministic?
Cannabijoy
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5
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1 answer
Which algorithms can we use on games with high branching factors (e.g. Connect6)?
Connect6 is an example of a game with a very high branching factor. It is about 45 thousand, dwarfing even the impressive Go.
Which algorithms can we use on games with such high branching factors?
I tried MCTS (soft rollouts, counting a ply as…
Christopher King
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5
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2 answers
Why is the derivative of this objective function 0 if the policy is deterministic?
In the Berkeley RL class CS294-112 Fa18 9/5/18, they mention the following gradient would be 0 if the policy is deterministic.
$$
\nabla_{\theta} J(\theta)=E_{\tau \sim \pi_{\theta}(\tau)}\left[\left(\sum_{t=1}^{T} \nabla_{\theta} \log…
jonperl
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2 answers
Why does the clipped surrogate objective work in Proximal Policy Optimization?
In Proximal Policy Optimization Algorithms (2017), Schulman et al. write
With this scheme, we only ignore the change in probability ratio when it would make the objective improve, and we include it when it makes the objective worse.
I don't…
16Aghnar
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5
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3 answers
How can I detect datetime patterns in text?
I want to explore and experiment the ways in which I could use a neural network to identify patterns in text.
examples:
Prices of XYZ stock went down at 11:00 am today
Retrieve a list of items exchanged on 03/04/2018
Show error logs between 3 - 5…
Amresh Venugopal
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5
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1 answer
What are the differences between an agent that thinks rationally and an agent that acts rationally?
Stuart Russell and Peter Norvig pointed out 4 four possible goals to pursue in artificial intelligence: systems that think/act humanly/rationally.
What are the differences between an agent that thinks rationally and an agent that acts rationally?
Bayequentist
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5
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1 answer
Type of artificial neural network suitable for learning and then predicting forest growth
I'm trying to use an ANN to learn from a large amount of forest measurement data obtained from sampling plots across Ontario, Canada and associated climate data provided by regional climate modelling in this province.
So the following are the…
JChen
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5
votes
2 answers
How is it possible to teach a neural network to perform addition?
I am trying to understant how it works. How do you teach it say, to add 1 to each number it gets. I am pretty new to the subject and I learned how it works when you teach it to identify a picture of a number. I can understand how it identifies a…
bilanush
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5
votes
2 answers
Where can I find pre-trained language models in English and German?
Where can I find (more) pre-trained language models? I am especially interested in neural network-based models for English and German.
I am aware only of Language Model on One Billion Word Benchmark and TF-LM: TensorFlow-based Language Modeling…
Lutz Büch
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5
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2 answers
Is there a machine learning system that is able to understand mathematical problems given in a textual description?
Is there a machine learning system that is able to "understand" mathematical problems given in a textual description, such as
A big cat needs 4 days to catch all the mice and a small cat needs 12 days. How many days need both, if they catch mice…
georg0221
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