MoG-DQN Implementation In PyTorch To Solve Lunar Lander
This is implementation of MoG-DQN using PyTorch.
Understanding Implicit Quantile Networks in Reinforcement Learning
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
Double DQN For Lunar Lander With PyTorch
In this blog post, we will implement Double DQN using PyTorch to solve the Lunar Lander environment from OpenAI Gym.
Django On MySql
In this article we will learn how to use MySql with Django. Operating system used in this process in Ubuntu 22.04.
Chart.js with Django
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.