Questions tagged [algorithm-request]

Question 1

I am working on a university project exploring Contextual Reinforcement Learning (CRL) using Actor-Critic algorithms (like PPO and SAC). My focus is on how to effectively integrate the state ...

Question 2

I'm designing a computer vision system to detect suspicious customer behavior in a store, for example: unusual body movements near a cashier or shelf sudden hiding motions, loitering for too long in ...

Question 3

I'm looking for the name of a perturbation-based interpretability method. The idea is that, given a single datapoint $x$, you estimate the importance of each feature $i$ by evaluating the model on a ...

Question 4

I have a question about whether the Deterministic Policy Gradient algorithm in it's basic form is policy-based or actor-critic. I have been searching for the answer for a while and in some cases it ...

Question 5

I'd like to create some algorithm that can tell apart knots from links. A knot is made up of one line, a link with multiple. As input, we expect images as above. Is there an algorithm capable of ...

Question 6

I am not an expert in reinforcement learning. I am applying it to my field of study. I am training a model such that given a state, it predicts the probability of taking an action for every action ...

Question 7

I have a dataset with several qualitative and quantitative attributes, including age, location (longitude, latitude), city, parent occupation, family size, GPA etc. My task is to find the attributes/...

Question 8

The forward pass in neural network can be written as g(Wx+b). W is the weights Matrix, x is the input vector and b is bias, and g the non linearity, the activation function. However x can have more ...

Question 9

I was wondering if there is an algorithm that helps create 'symmetrical' AIs (an AI that has the same inputs as it has outputs) that could be used for 'simulating' a system. The idea would be that ...

Question 10

I see that discounted reward reinforcement learning has been extensively studied in the literature. However, the average reward metric receives less attention, and it looks like algorithms for this ...

Question 11

I'm building a friend finder app and I need to match people based on a paragraph of text. Here is an example of what I mean: Person A: I love walking and going to the beach, I also love reading and ...

Question 12

With users expecting instantaneous information and no compromise on in-depth details, app developers are challenged to condense long-form content such as articles, editorials, and discussion threads ...

Question 13

I mainly tackle regression problems by CNNs, and want to find a reliable method to calculate the heatmaps for NN's results. However, I find almost all interpretation methods including CAM is used for ...

Question 14

Let's say I have a discrete input and want to transform it into a differentiable latent space. What models/algorithms besides variational autoencoders can I use?

Question 15

What strategies are there to reduce the variance of the policy gradient estimator of the REINFORCE algorithm? I know one possibility is to subtract a baseline as a running average of rewards from past ...

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Questions tagged [algorithm-request]

Could you suggest literature or conceptual approaches for fusing any two arbitrary input representations in DRL?

How can I detect suspicious customer actions using computer vision?

What is the name of the interpretability method that perturbs individual features of a single datapoint?

Is DPG a policy-based method or an actor-critic method?

Is there an algorithm capable of telling knots and links apart?

Is there an algorithm that produces a uniform distribution over the set of trajectories with maximum reward sum?

Machine Learning Algorithm for identifying the factors contributing to academic performance of students

Implement tensor operation with mini batches instead of Matrix multiplication in forward pass

Symmetrical AI (same inputs as outputs) for Modelling and Prediction

Algorithms for average reward reinforcement learning in continuous/general state-action space

Match two paragraphs of text

What are the most effective methods and tools for summarizing long-form content like articles, editorials, and discussion threads for an app?

Is there any interpretation method suitable for CNNs which do regression tasks?

What models/algorithms besides variational autoencoders can I use to transform a discrete input into a differentiable latent space?

What strategies are there to reduce the variance of the policy gradient estimator of the REINFORCE algorithm?

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