# Questions tagged [learning-algorithms]

For questions about different learning algorithms used by a Machine Learning program to achieve its end goal.

11 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
76 views

### 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 ...
• 141
28 views

### 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 ...
• 121
36 views

### 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 ...
• 21
1 vote
53 views

### 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 ...
• 658
1 vote
36 views

### 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 ...
• 111
1 vote
43 views

### 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 ...
• 157
1 vote
76 views

### 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 "...
• 2,074
1 vote
64 views

### 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 ...
• 303
1 vote
331 views

### 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 ...
• 119