Check the syllabus here. In the last unit, we learned our first reinforcement learning algorithm: Q-Learning, implemented it from scratch, and trained it in two environments, FrozenLake-v1 ☃️ and Taxi-v3 🚕. We got excellent results with this simple algorithm. But these en...
This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here.In the last unit, we learned about Deep Q-Learning. In this value-based Deep Reinforcement Learning algorithm, we used a deep neural network to approximate the ...
This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here. In Unit 5, we learned about our first Policy-Based algorithm called Reinforce. In Policy-Based methods, we aim to optimize the policy directly without ...
Check the syllabus here.In the last unit, we learned about Deep Q-Learning. In this value-based Deep Reinforcement Learning algorithm, we used a deep neural network to approximate the different Q-values for each possible action at a state....
This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here. In the first part of this unit, we learned about the value-based methods and the difference between Monte Carlo and Temporal Difference Learning. So, in the...
Unit 8, of the Deep Reinforcement Learning Class with Hugging Face 🤗This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here.In the last Unit, we learned about Advantage Actor Critic (A2C), a hybrid archit...
Check the syllabus here. In the first part of this unit, we learned about the value-based methods and the difference between Monte Carlo and Temporal Difference Learning. So, in the second part, we’ll study Q-Learning, and implement our first RL agent from scratch, a Q-Lea...
This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus here. ⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of...
Check the syllabus here. In the last unit, we learned our first reinforcement learning algorithm: Q-Learning, implemented it from scratch, and trained it in two environments, FrozenLake-v1 ☃️ and Taxi-v3 🚕. We got excellent results with this simple algorithm. But these envi...
Check the syllabus here. In the first chapter of this class, we learned about Reinforcement Learning (RL), the RL process, and the different methods to solve an RL problem. We also trained our first lander agent to land correctly on the Moon 🌕 and uploaded it to the Hugging ...