Solving Bipedal Walker Hardcore Challenge with Soft Actor-Critic Algorithm
we will learn to solve Bipedal Walker Hardcore Challenge with Soft Actor-Critic Algorithm
we will learn to solve Bipedal Walker Hardcore Challenge with Soft Actor-Critic Algorithm
In this tutorial we will learn how to master a Bipedal Walker with PPO (Proximal Policy Optimization).
Second Part we will learn about the major components PPO for ai agent.
This is first of two part tutorial. Here we learn to build snake game. In part two, we will learn to build a PPO agent to play with it.
In this blog post, we will explore the Proximal Policy Optimization (PPO) algorithm. We’ll compare it to other deep reinforcement learning algorithms like Double Deep Q-learning and TRPO. Additionally, we’ll learn how to implement PPO using PyTorch.
Introduction of Prioritized Experience Replay and its implementation with PyTorch.
This is an implementation of Policy Gradient algorithm using 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.