### Why is this Deep Q Agent constantly learning just one action?

I’m trying to implement deep q learning in the openai gym “Taxi-v3” environment. But my agant only learns to do one action in every state. What am I doning wrong? Here is the code.

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# Category Archives: Artificial Intelligence (AI)

### Why is this Deep Q Agent constantly learning just one action?

### What activation functions are better for what problems?

### Convert a PAC-learning algorithm into another one which requires no knowledge of the parameter

### Why we multiply probabilities with support to obtain Q-values in Distributional C51 algorithm?

### Comparing EEG data with Accelerometer Data in 1 algorithm

### Logistic Regression Weight Training

### How many ways are there to perform image segmentation?

### Question About Captcha Breaker

### What is the need for Auxilliary Decoder in the VAE-GAN?

### What is the need for Auxilliary Decoder in the VAE-GAN?

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I’m trying to implement deep q learning in the openai gym “Taxi-v3” environment. But my agant only learns to do one action in every state. What am I doning wrong? Here is the code.

I’ve been reading on neural network architecture and all I read bout activation functions is that using a non-linear sigmoid “more accurately reflects real life” or for functions like hard limits it reflects “the brain neural networks more accurately.” For what type of problems are activation functions better for?

This is part of a problem in the book Foundations of Machine Learning(page 28). You can refer to chapter 2 for the notations. Consider a family of concept classes $\left\{\mathcal{C}_{s}\right\}_{s}$ where $\mathcal{C}_{s}$ is the set of concepts in $\mathcal{C}$ with size at most $s .$ Suppose we have a PAC-learning algorithm $\mathcal{A}$ that can be…

In ‘Deep Reinforcement Learning Hands-On’ book and chapter about Distributional C51 algorithm I’m reading, that to obtain Q-values from the distribution I need to calculate the weighted sum of the normalized distribution and atom’s values. Why I have to multiply that distribution with support? How does it work and what happening there?

I have EEG data as well as accelerometer data and I am trying to figure out how to compare them so I can feed them into one algorithm. Any literature, articles or information will be appreciated greatly. Thanks

I am new to machine learning , so please excuse me if I misuse any terms or words . I am trying to use Logistic Regression to make a spam filter, but i am having trouble understanding the weight update part.I have processed my email dataset ,and i have an attribute vector of the top…

I’m new in Artificial Intelligence and I want to do image segmentation. Searching I have found this ways: Digital image processing (I have read it in this book: Digital Image Processing, 4th edition). Convolutional neural networks. Is there something else that I can use?

i have a model for solving captcha trained with a dataset but my images are different and i take bad accuracy for my actual data,what should i do?

The below image taken from Tim Sainberg’s GitHub repo (https://github.com/timsainb) shows the structure of a VAE-GAN: My question is about the second row in the diagram. Random samples drawn from z are passed through the decoder to generate fake samples that are also given to the discriminator. I have read from other sources that it…

The below image taken from Tim Sainberg’s GitHub repo (https://github.com/timsainb) shows the structure of a VAE-GAN: My question is about the second row in the diagram. Random samples drawn from z are passed through the decoder to generate fake samples that are also given to the discriminator. I have read from other sources that it…

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