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# Artificial Intelligence : Recent Questions and Answers

## Is it possible to use AI to reverse engineer software?

I was thinking of something of the sort:Build a program (call this one fake user) that generates lots and lots and lots of data based on the usage of another...

## Why do CNN's sometimes make highly confident mistakes, and how can one combat this problem?

I trained a simple CNN on the MNIST database of handwritten digits to 99% accuracy. I'm feeding in a bunch of handwritten digits, and non-digits from a document. I want...

## Can you explain me this CNN architecture?

I am starting to get my head around convolutional neural networks, and I have been working with the CIFAR-10 dataset and some research papers that used it. In one of...

## In Deep Deterministic Policy Gradient, are all weights of the policy network updated with the same or different value?

I'm trying to understand the DDPG algorithm shown at this page. I don't know what should the result of the gradient at step 14 be. ...

## Can GANs be used to generate something other than images?

AFAIK, GANs are used for generating/synthesizing near-perfect human faces (deepfakes), gallery arts, etc., but can GANs be used to generate something other than images?...

## What should the output of a neural network that needs to classify in an unsupervised fashion XOR data be?

XOR data, without labels:[[0,0],[0,1],[1,0],[1,1]]I'm using this network for auto-classifying XOR data:H1 <-- Dense(units=2, activation=relu) #any activation hereZ <-- Dense(units=2, activation=softmax) #softmax for...

## Choosing a policy improvement algorithm for a continuing problem with continuous action and state-space

I'm trying to decide which policy improvement algorithm to use in the context of my problem. But let me emerge you into the problem Problem I want to move a...

## Why is the policy loss the mean of $-Q(s, mu(s))$ in the DDPG algorithm?

I am trying to implement the DDPG algorithm based on this paper. The part that confuses me is the actor network's update.I don't understand why the...

Asked on 11/17/2021 by Dhanush Giriyan

## Are tabular reinforcement learning methods obsolete (or getting obsolete)?

While learning RL, I came across some problems where the Q-matrix that I need to make is very very large. I am not sure if it is ever practical. Then...

## How do I test an LSTM-based reinforcement learning model using any Atari games in OpenAI gym?

I am writing a couple of different reinforcement learning models based on Rainbow DQN or some PG models. All of them internally use an LSTM network because my project is...