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Artificial Intelligence : Recent Questions and Answers (Page 5)

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

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?...

Asked on 11/24/2021

1 answer

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...

Asked on 11/20/2021

1 answer

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...

Asked on 11/20/2021

1 answer

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

1 answer

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...

Asked on 11/12/2021

1 answer

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...

Asked on 11/10/2021

1 answer

How does the target network in double DQNs find the maximum Q value for each action?

I understand the fact that the neural network is used to take the states as inputs and it outputs the Q-value for state-action pairs. However, in order to compute this...

Asked on 11/07/2021

1 answer

Understanding the loss function in deep Q-learning

I am trying to understand how deep Q learning (DQN) works. To my current understanding, each $Q(s, a)$ functions is estimated to be a function of a feature vector...

Asked on 11/04/2021

2 answer

Is a reward given at every step or only given when the RL agent fails or succeeds?

In reinforcement learning, an agent can receive a positive reward for correct actions and a negative reward for wrong actions, but does the agent also receive rewards for every other...

Asked on 11/04/2021

1 answer

Ways to keep up with the latest developments in Machine Learning and AI?

With over 100 papers published in the area of artificial intelligence, machine learning and their subfields every day (source), accounting for ~3% of all publications world wide...

Asked on 11/04/2021 by Tinu

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