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Artificial Intelligence : Recent Questions and Answers (Page 7)

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

Why do we use $X_{I_t,t}$ and $v_{I_t}$ to denote the reward received and the at time step $t$ and the distribution of the chosen arm $I_t$?

I'm doing some introductory research on classical (stochastic) MABs. However, I'm a little confused about the common notation (e.g. in the popular paper of Auer (2002) or...

Asked on 08/24/2021 by MAB_N00B

2 answer

Can I apply AdaBoost on a random forest?

I know the random forest is a bagging technique. But what if my random forest overfits on a dataset, so I reduce the depth of the decision tree and now...

Asked on 08/24/2021 by Swakshar Deb

0 answer

Why is the expected return in Reinforcement Learning (RL) computed as a sum of cumulative rewards?

Why is the expected return in Reinforcement Learning (RL) computed as a sum of cumulative rewards? Would it not make more sense to compute $mathbb{E}(R mid s, a)$ (the...

Asked on 08/24/2021 by THAT_AI_GUY

1 answer

How can a learning rate that is too large cause the output of the network (and the error) to go to infinity?

It happened to my neural network, when I use a learning rate of <0.2 everything works fine, but when I try something above 0.4 I start getting "nan" errors because...

Asked on 08/24/2021 by user1477107

0 answer

Why does the number of channels in the PointNet increase as we go deeper?

For example, in PointNet, you see the 1D convolutions with the following channels 64 -> 128 -> 1024. Why not e.g. 64 -> 1024 -> 1024 or...

Asked on 08/24/2021 by user3180

0 answer

How is AI helping humanity?

There was a lot of Negative news on Artificial Intelligence. Most people were first exposed to the idea of artificial intelligence from Hollywood movies, long before they...

Asked on 08/24/2021

2 answer

Prioritised Remembering in Experience Replay (Q-Learning)

I'm using Experience Replay based on the original Prioritized Experience Replay (PER) paper. In the paper authors show ~ an order of magnitude increase in data efficiency...

Asked on 08/24/2021 by conscious_process

0 answer

Advantages of training Neural Networks based on analytic success criteria

What is the reason to train a Neural Network to estimate a task's success (i.e. robotic grasp planning) using a simulator that is based on analytic grasp quality metrics? Isn't...

Asked on 08/24/2021 by EmVee

0 answer

What kind of policy evaluation and policy improvement AlphaGo, AlphaGo Zero and AlphaZero are using

I'm trying to find out what kind of policy improvement and policy evaluation AlphaGo, AlphaGo Zero, and AlphaZero are using. By looking into their respective paper and SI, I can...

Asked on 08/24/2021 by Daniel Wiczew

0 answer

Why would the learning rate curve go backwards?

I'm working on recognizing the numbers 3 and 7 using the MNIST data set. I'm using cnn_learner() function from fastai library. When I plotted the learning rate,...

Asked on 08/24/2021 by MonkeyDLuffy

1 answer

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