Questions tagged [learning-algorithms]
For questions about different learning algorithms used by a Machine Learning program to achieve its end goal.
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Unable to train Coach for Banana-v0 Gym environment
I have just started playing with Reinforcement learning and starting from the basics I'm trying to figure out how to solve Banana Gym with coach.
Essentially ...
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Alternatives to Hierarchical RL for centralized control tasks?
Consider a problem where the agent must learn to control a hierarchy of agents acting against another such agent in a competitive environment. The agents on each team need to learn cooperate in order ...
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Algorithm to solve a fault independent of its type
I am looking to plan a solution for a workspace fault and not hardware faults.
Consider a task where a robot has to move balls from one place to another. In case it faces any condition which is ...
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Can an ML model sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time?
I am pondering on the question in the title. As a human being, somehow I can sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time (But I am not sure.). Can an ...
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Intellectual property in the age of Industry 4.0
I am looking for specific references describing guidance principles around the interplay between IP (intellectual property) and Artificial Intelligence algorithms. For example, Company A has a large ...
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How can I write out the Real-TIme Recurrent Learning Gradient equations for a network?
This question is about Real-Time Recurrent Learning Gradient on a Recurrent neural network .
How can I write out the RTRL equations for a network ?
Before present an example give let's introduce ...
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How would an AI learn the concept of the words "repeat twice"?
In a hypothetical conversation:
Person A - "Repeat the word 'cat' twice".
Person B - "cat cat".
I'm thinking about how a human or AI can learn the concept of "...
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How do stacked denoising autoencoders work
I've been studying a recommender system which uses a collaborative deep learning approach and Bayesian learning. It has the following NN representation :
I need to know the working of stacked ...
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Natural language processing with a continuous dependent variable
I have a large number of observations. Each observation contains:
dependent variable: a scores ranging from 0 - 100
independent variable: a large article
I want to know which words or phrases ...
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Algorithm to separate audio source that Andrew Ng did in his ML Course
Hey I was doing the ML course of Andrew Ng's ML course. In a video he shows a algorithm that can separate two audio source and separate voice from music. Has any one tried such an algorithm? Though he ...
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Can Reinforcement Learning be used for UAV waypoint control?
I want to make a drone which can follow static and dynamic waypoints. I am a total beginner in the drone field so I can't figure out that should I use Reinforcement Learning or any other learning ...
