Freaks City

Q-Learning Algorithm This algorithm uses a value-based approach for discrete state-action spaces. The update rule follows Bellman equation: $$ Q(s,a) \leftarrow Q(s,a) + \alpha [r + \gamma \max_{a'} Q(s',a') - Q(s,a)] $$ Implementation example using OpenAI Gym: import numpy as np import gym env = gym.make('CartPole-v1') state_space = env.obse ...

In digital image processing, calculating the gradient of an image is a fundamental step for edge detection and sharpening. This process involves finding the intensity changes between neighboring pixels. Below are two methods to implement this using C++ and the OpenCV library: a manual pixel-iteration approach and a more optiimzed approach using ...

When evaluating libraries for facial recognition and privacy protection in .NET, developers often compare DlibDotNet and ViewFaceCore. While both libraries are capable, ViewFaceCore offers a more straightforward coordinate system that maps intuitively to image pixels. This tutorial outlines the process of creating a Windows Forms application to ...