Questions tagged [ai-design]
For questions related to the design of AI agents, algorithms or models.
11
questions
4
votes
2answers
235 views
Are Neural Net architectures accidental discoveries?
Recently, I have been learning about new neural networks, which are used for specialised purposes, like speech recognition, image recognition, etc. The more I discover the more I get amazed by the ...
3
votes
0answers
286 views
How to define an action space when an agent can take multiple sub-actions in a step?
I'm attempting to design an action space in OpenAI's gym and hitting the following roadblock. I've looked at this post which is closely related but subtly different.
The environment I'm writing needs ...
14
votes
2answers
428 views
How should I encode the structure of a neural network into a genome?
For a deterministic problem space, I need to find a neural network with the optimal node and link structure. I want to use a genetic algorithm to simulate many neural networks to find the best network ...
5
votes
3answers
261 views
Given enough computational resources, do we currently have any algorithms which could achieve AI?
Hypothetically, assume that you have access to infinite computing power. Do we have designs for any brute-force algorithms that can find an AI capable of passing traditional tests (e.g. Turing, ...
4
votes
1answer
538 views
How would you encode your input vector/matrix from a sequence of moves in game like tasks to train an AI? e.g. Chess AI?
I've seen data sets for classification / regressions tasks in domains such as credit default detection, object identification in an image, stock price prediction etc. All of these data sets could ...
4
votes
1answer
86 views
How should I define the action space for a card game like Magic: The Gathering?
I'm trying to learn about reinforcement learning techniques. I have little background in machine learning from university, but never more than using a CNN on the MNIST database.
My first project was ...
2
votes
1answer
368 views
How to train a reinforcement learning agent from raw pixels?
How would you train a reinforcement learning agent from raw pixels?
For example, if you have 3 stacked images to sense motion, then how would you pass them to neural networks to output Q-learning ...
4
votes
2answers
126 views
Why do we need both the validation set and test set?
I know that this has been asked a hundred times before, however, I was not able to find a question (and an answer) which actually answered what I wanted to know, respectively, which explained it in a ...
4
votes
2answers
260 views
AI on Academic vs Industry vs Competition
When we are working on an AI project, does the background or the domain make the process different? The "domain" I mean here is like AI for academic research, AI for industry, and AI for competition.
...
3
votes
1answer
553 views
What are the (general) sizes of AlphaGo and Deep Blue?
I'm trying to get a gauge on just how big the programs and databases are these automata. I understand that this is a changing number, particularly in regard to Machine Learning.
Q: How large was ...
3
votes
0answers
175 views
What can be considered a deep recurrent neural network?
In the paper Deep Recurrent Q-Learning for Partially Observable MDPs, the DRQN is described as DQN with the first post-convolutional fully-connected layer replaced by a recurrent LSTM.
I have DQN ...
