How To Setup MuJoCo, Gymnasium, PyTorch, SB3 and TensorBoard on Windows
In this tutorial you will find the steps to create a complete working environment for Reinforcement Learning (RL) and how...
Dragos Calin is a robotics engineer and reinforcement learning practitioner focused on building real-world autonomous and remote-controlled systems for agriculture, edge-AI robotics, and embedded platforms. His work bridges simulation, machine learning, and hardware deployment, with a strong emphasis on practical, testable solutions that function outside the lab.
In this tutorial you will find the steps to create a complete working environment for Reinforcement Learning (RL) and how...
What you will learn from this tutorial: Why Actor–Critic exists, and why Q-learning/DQN and pure gradient policy are not enough...
Exploration vs Exploitation is one of the most well-known concepts in Reinforcement Learning. At the same time, it is one...
In this tutorial, you will learn how Reinforcement Learning really works in practice, not just in theory. By the end,...
By the end of this tutorial, you will clearly understand: Why RL looks similar to supervised learning—but behaves completely differently,...
Reinforcement Learning (RL) is a very important type of Machine Learning(ML), alongside supervised learning and unsupervised learning. Many people think...
Your agent may fail a lot of the time not because it's trained badly or the algorithm is bad, but...
If the observations are not normalized, your agent will learn with the brakes on - whether you use PPO, SAC...
Most PPO tutorials show you what to run. This one shows you how PPO actually works - and how to...
When I tried to train my first Reinforcement Learning agent, the reward curve seemed to be going up. Then it...
In this tutorial, I'll show you how to build the brain of a DQN agent, train it to master MountainCar,...
In this tutorial, I will guide you step by step to install PyTorch, Stable-Baselines3, and Gymnasium on Windows and Linux....
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