Gaussian Double Deep Q Learning
Implementation of Gaussian Double Deep Q network with PyTorch
Implementation of Gaussian Double Deep Q network with PyTorch
This is implementation of MoG-DQN using PyTorch.
IQN is a state-of-the-art RL algorithm that focuses on predicting the full distribution of returns rather than just the mean. This approach provides a more comprehensive understanding of the value of actions, allowing for better decision-making in uncertain environments
In this blog post, we will implement Double DQN using PyTorch to solve the Lunar Lander environment from OpenAI Gym.
In this article we will learn how to use MySql with Django. Operating system used in this process in Ubuntu 22.04.
In this blog, we will learn how visualize data by combining the chart.js with Django. For this we will continue with our Django project from last post.
In Django Admin Customization we will look various ways to customize the admin panel of Django. We will also look how to add custom filters, how to use 3rd party packages to search and style. We will learn how to import and export our data and many more.
Closing this project with few features.
In this Django RESTful API we will learn to create a RESTful API with Django. Here we will Create, Read, Update and Delete posts using RESTful API. We will use the POSTMAN to test our API.
In this fifth part of Django E-Learning Platform we will learn how to use the Django cache framework and use the Memcached and Redis cache backends for our project.
In the fourth part of Django E-learning Platform, we are going to build the functionality to access course contents, create a student registration system and manage student enrollment onto courses.
In the third part of “Django e-learning platform” we will learn to sort modules and contents of our courses with the help of features of HTML5, JS and AJAX.
In this part, of Blog App in Django we will use bootstrap.
In part four we add some restrictions to our Blog application.
In this part of Django E-learning platform, we will learn how to add CRUD operations for course, modules and contents.
The first part of our Django E-learning platform, where we will create necessary models for our e-learning platform and implement authentication models.
In this post we will learn to CRUD with Django and Ajax. Ajax will help to submit the Django forms without the page being refreshed. We will also learn to display, edit and delete content with refreshing the page.
The default database for Django is sqlite. Here, we will learn how to migrate from sqllite to postgresql.
In this part we will learn to edit the admin site of Django and add an option to exports the orders as csv files. We will also learn to use WeasyPrint to create pdf files dynamically.
When a shopping cart is checked out, we need to save an order in the database. Orders will contain information about customers and the products they are buying.