Yadhavaramanan / Implementing-Q-Learning-with-Linear-FunctionLinks
n this Q-learning implementation, a grid world environment is defined with 16 states, and agents can take 4 possible actions: up, down, left, and right. The goal is to reach state 15. The Q-table, initialized with zeros, serves as a memory to store Q-values for state-action pairs.
☆14Updated last year
Alternatives and similar repositories for Implementing-Q-Learning-with-Linear-Function
Users that are interested in Implementing-Q-Learning-with-Linear-Function are comparing it to the libraries listed below
Sorting:
- The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be fo…☆15Updated last year
- Naïve Bayes is part of a family of generative learning algorithms, meaning that it seeks to model the distribution of inputs of a given c…☆15Updated last year
- Policy gradient methods are a type of reinforcement learning techniques that rely upon optimizing parametrized policies with respect to t…☆14Updated last year
- ☆16Updated 2 months ago
- ☆15Updated last year
- ☆13Updated 9 months ago
- ☆15Updated last year
- The K-Nearest Neighbors (KNN) algorithm is a supervised machine learning method employed to tackle classification and regression problems…☆15Updated last year
- ☆13Updated 10 months ago
- ☆12Updated 6 months ago
- In data structures there are lot of searching algorithms are available .They are based on the usage of the searching.. meathodlogy of th…☆12Updated 9 months ago
- Pre-booking food in hotels is a convenient way to ensure you have meals ready at your preferred times during your stay.Some hotels requir…☆14Updated 10 months ago
- In this project just including sql queries like insert, update, delete, select to adding, updating,showing, deleting players details …☆14Updated last year
- ☆15Updated last year
- ☆11Updated 8 months ago
- ☆10Updated 9 months ago
- ☆10Updated 9 months ago
- ☆10Updated 9 months ago
- Config files for my GitHub profile.☆10Updated 9 months ago
- This repo contains if for 100days coding challenge through which I can be a proficient in Data structure and computer programming☆15Updated 2 months ago
- To Assuming a set of documents that need to be classified, use the Semi Supervised Classifier model to perform this task. Calculate the a…☆13Updated 10 months ago
- ☆11Updated 7 months ago
- To Implementing Q Learning with Linear Function.☆12Updated 10 months ago
- The image displays a self-driving car's model detecting vehicles using a CNN.☆13Updated 9 months ago
- By grouping or clustering the students iq based on the studnent cgps marks☆19Updated last year
- A CNN model for classifying a dogs and cats images.☆13Updated 9 months ago
- There are lot of sorting algorithms are available in the datastructures which usage of the algorithm are based on the usage of the develo…☆22Updated last year
- To Implement ID3 algorithm with the help of use define functions.☆14Updated 11 months ago
- Air Quality prediction using machine learning algorithm of Desicion Tree to see the percentage of air molecule mixture..☆17Updated last year
- It typically involves detecting and tracking hand shapes, positions, and motions, translating them into commands or actions in real-time.☆12Updated 8 months ago