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Artificial Intelligence : Recent Questions and Answers (Page 15)

Find answers to your questions about Artificial Intelligence or help others by answering their Artificial Intelligence questions.

Why are Target Networks used in Deep Q-Learning as opposed to the Expected Value equation?

I understand we use a target network because it helps resolve issues regarding stability, however, that's not what I'm here to ask. What I would like to understand is why...

Asked on 09/10/2020 by TMT

1 answer

Handling a Large Discrete Action Space in Deep Q Learning

I am attempting to solve a timetabling problem using deep Q learning. It could be thought of as a resource allocation problem to obtain some certificate of 'optimality'. However, how...

Asked on 09/09/2020 by FoxCharles

0 answer

What are the advantages and disadvantages of using LISP for constraint satisfaction in 3D space

We are currently working on developing a 3D modeling software that allows designers to set spatial constraints to models. The computer then should generate a 3D mesh conforming to these...

Asked on 09/07/2020 by Shashank Gargeshwari

1 answer

Local Search vs K-means Clustering

I have found that the K-means algorithm with K=20, has been mentioned as a solution for the below question,A new mobile phone service chain store would like to open 20...

Asked on 09/05/2020 by KGhatak

0 answer

What are the right algorithms for this open loop control problem

i'm quiete new to AI, i have to choose the right algorithm for a machine learning problem. Since there are so many methods, algorithms and techniques, i'm not sure whether...

Asked on 08/30/2020 by toben aus

1 answer

What is the state of the art solution for text classification for large corpora

I have a need to classify documents in a set of documents, which grows over time from a small tagged training set. The classification is a binary classification. Training on...

Asked on 08/22/2020 by Nick

0 answer

Non Max Suppression and Object Detection

My understanding on how non max suppression work is suppress all overlapping boxes that are over jaccard overlap threshold (may be 0.5). The boxes to be considered are on...

Asked on 08/16/2020 by Moe Kaung Kin

1 answer

Isn't a simulation a great model for model-based reinforcement learning?

Most reinforcement learning agents are trained in simulated environments. The goal is to maximize performance in (often) the same environment, preferably with a minimum amount of interactions. Having a good...

Asked on 08/09/2020 by Ray Walker

1 answer

Correct problem statement for CNN. Stitching parts of the map

I decided to start learning neural networks by creating a bot for the game. One of the intermediate steps is to create a global map from a series of inaccurate...

Asked on 08/01/2020 by Green_Wizard

0 answer

How can I predict the true label for data with incomplete features based on the trained model with data with more features?

Suppose I have a model that was trained with a dataset that contains the features (f1, f2, f3, f4, f5, f6). However, my test dataset does not contain all features...

Asked on 07/26/2020 by Dae-Young Park

0 answer

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