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30 views

How to control the switches of a railway track with Artificial Intelligence?

Usually, it's very complicated to program a real time strategy game from scratch. Notable examples like Lemmings or Starcraft are software projects with a large amount of codelines. A much easier ...
14 views

Intelligent reflecting surface

I wanted to know about Intelligent reflecting surface (IRS) technology. what is the application of IRS in wireless communication? what are the competitive advantages over existing technologies?
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Why does having a fixed policy change a Markov Decision Process (MDP) to a Markov Reward Process (MRP)?

If a policy is fixed, it is said that an MDP becomes an MRP. Why is this so? Aren't the transitions and rewards still parameterized by the action and current state? In other words, aren't the ...
55 views

Why is having low variance important in offline policy evaluation of reinforcement learning?

Intuitively, I understand that having an unbiased estimate of a policy is important because being biased just means that our estimate is distant from the truth value. However, I don't understand ...
37 views

Why do very deep non resnet architectures perform worse compared to shallower ones for the same iteration? Shouldn't they just train slower?

My understanding of the vanishing gradient problem in deep networks is that as backprop progresses through the layers the gradients become small, and thus training progresses slower. I'm having a hard ...
147 views

What are the implications of the “No Free Lunch” theorem for machine learning?

The No Free Lunch (NFL) theorem states (see the paper Coevolutionary Free Lunches by David H. Wolpert and William G. Macready) any two algorithms are equivalent when their performance is averaged ...
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43 views

How to deal with large (or NaN) neural network's weights?

My weights go from being between 0 and 1 at initialisation to exploding into the tens of thousands in the next iteration. In the 3rd iteration they become so large that only arrays of nan values are ...
32 views

GPU/TPU acceleration for neural networks with various network topologies

I was thinking about different neural network topologies for some applications. However, I am not sure how this would affect the efficiency of hardware acceleration using GPU/TPU/some other chip. If, ...
176 views

What are all the different kinds of neural networks used for?

I found the following neural network cheat sheet (Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data). What are all these different kinds of neural networks used ...
109 views

Is randomness necessary for AI?

Is randomness (either true randomness or simulated randomness) necessary for AI? If true, does it mean "intelligence comes from randomness"? If not, can a robot lacking the ability to generate random ...
40 views

Puzzle solving AI?

I have a book containing lots of puzzles with instructions like: ...
97 views

What kind of neural network architecture is suitable for variable length block-like time series data?

I'm not sure what this type of data is called, so I will give an example of the type of data I am working with: A city records its inflow and outflow of different types of vehicles every hour. More ...
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How is Average Recall (AR) calculated for an object detection model?

After looking around the internet (including this paper, I cannot seem to find a satisfactory explanation of the Average Recall (AR) metric. On the COCO website, it describes AR as: "the maximum ...
13 views

Predict the next best action based on previous lists of actions

I have the following problem. There is a software that I've written some time ago. Users enter customer's data in the system and there is a limited number of things (actions) that they can do/add - ...
33 views

How can we conclude that an optimization algorithm is better than another one

When we test a new optimization algorithm, what the process that we need to do?For example, do we need to run the algorithm several times, and pick a best performance,i.e., in terms of accuracy, f1 ...
17 views

Better versions of LSTM

I know recurrent neural networks for example LSTM is one of them. After LSTM different variants of LSTM have come for example GRU. I don't know about newer RNN like LSTM and GRU, so I decided to ask ...
31 views

Is there a GAN that can be used for sequence prediction?

I want to use a GAN for sequence prediction, in a similar way that we use RNNs for sequence prediction. I want to test its performance in comparison with RNNs. Is there a GAN that can be used for ...
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what is the best dataset (or combination of datasets) for training a person detector?

I want to train a person detector for MOTChallenge dataset, but I want to avoid using the dataset as training set for my detector. Therefore, I want to use another dataset or combination of several ...
30 views

What sort of Neural Network is best suited to predicting a future purchase?

I have previously implemented a Neural Network with Back-Propagation that was able to learn Tic-tac-toe and could go pretty well at Connect-4. Now I'm trying to do a NN that can make a prediction. ...
48 views

Is My Formula For a Neural Network correct?

I am creating a multi-layer neuron library in C# and doubtful of my understanding of neural network correctness as my answer even after the training of xor is always nearer 0.5. Here are the notation ...
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DQN unlearns certain OpenAI-Gym environments

I solved the OpenAI-Gym MountainCar-v0 environment using dqn(using low-state-dimensional input). When I used the same code for solving CartPole-v0 environment, the network got trained in the reverse ...
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How would an AI understand grids?

OK, now I think an AI must view grids in a different way to computers. For example a computer would represent a grid like this: ...
22 views

Formal definition of a “non-local” game?

This is an area I'm just getting into and starting to review the literature, but I can't easily find a fundamental definition of "nonlocal game". I came across the term in reference to methods of ...