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Artificial Intelligence : Recent Questions and Answers (Page 13)

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

Should I use the discounted average reward as objective in a finite-horizon problem?

I am new to reinforcement learning, but, for a finite horizon application problem, I am considering using the average reward instead of the sum of rewards as the objective. Specifically,...

Asked on 12/18/2020 by lll

0 answer

What is the search depth of AlphaGo and AlphaGo Zero?

I cannot find reliable sources but someone says it is 40 moves and someone else says it is 50+ moves. I read their papers and they use value function (NN)...

Asked on 12/15/2020

1 answer

Why does the error of my LSTM not decrease after 10 epochs?

Despite the problem being very simple, I was wondering why an LSTM network was not able to converge to a decent solution.import numpy as npimport kerasX_train = np.random.rand(1000)y_train =...

Asked on 12/13/2020 by K. Do

1 answer

Why is the completeness of UCS guaranteed only if the cost of every step exceeds some small positive constant?

I was reading Artificial Intelligence: A Modern Approach 3rd Edition, and I have reached to the UCS algorithm. I was reading the proof that UCS is complete....

Asked on 12/09/2020 by Kais Hasan

1 answer

Is it good practice to save NLP Transformer based pre-trained models into file system in production environment

I have developed a multi label classifier using BERT. I'm leveraging Hugging Face Pytorch implementation for transformers. I have saved the pretrained model into the file directory in dev environment....

Asked on 12/09/2020 by Murugesh

0 answer

Why is my Soft Actor-Critic's policy and value function losses not converging?

I'm trying to implement a soft actor-critic algorithm for financial data (stock prices), but I have trouble with losses: no matter what combination of hyper-parameters I enter, they are not...

Asked on 12/07/2020 by Zahra

1 answer

Can you train Transformers sequentially?

I’m currently trying to train a BART, which is a denoising Transformer created by Facebook researchers. Here’s my Transformer codeimport mathimport torchfrom torch import nnfrom Constants import *class Transformer(nn.Module):...

Asked on 12/05/2020

1 answer

What is meant by "ground truth" in the context AI?

What does "ground truth" mean in the context of AI especially in the context of machine learning? I am a little confused because I have read that the ground truth...

Asked on 12/03/2020 by MScott

2 answer

Utilizing continuous variables in concept learning algorithms

Suppose I'm using the Spambase dataset, with 57 real continuous variables and one binary label, and I'd like to implement the Find-S or LGG or similar algorithms.How...

Asked on 12/03/2020 by Edwin Carlsson

0 answer

Unix timestamps for Recurrent Neural Networks

I want to use RNN for classifying whole sequences of events, generated by website visitors. Each event has some categorical properties and a Unix timestamp:sequence1 = [{'timestamp': 1597501183, 'some_field':...

Asked on 12/02/2020 by Alena Volkova

1 answer

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