Hyperparameters in Deep RL – Hands-On RL Course – Part 6

Hyperparameters in Deep RL are critical to training successful agents. In today’s lesson, we will learn how to find the ones that make you a happy Deep RL developer. Credits for this beautiful picture go to Boxed Water Is Better on Unsplash 🙏 Welcome to the course ❤️ Welcome to part 6 of the Hands-on Course on Reinforcement …

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Deep q learning – hands-on RL course – part 5

Ready to implement a kick-ass deep q learning agent from scratch? Let’s get deeper! 🙏 Jeremy Bishop from Pexels for this beautiful image. Welcome to my reinforcement learning course ❤️ This is part 5 of the Hands-on Course on Reinforcement Learning, which takes you from zero to HERO 🦸‍♂️. Introduction to Reinforcement Learning Tabular Q-learning Tabular SARSA Linear …

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Parametric q learning – hands-on RL course – part 4

Ready to build your first agent using parametric q learning? Credits for this beautiful picture go to Yogendra Singh ❤️ Welcome to my reinforcement learning course ❤️ This is part 4 of the Hands-on Course on Reinforcement Learning, which takes you from zero to HERO 🦸‍♂️. Introduction to Reinforcement Learning Tabular Q-learning Tabular SARSA Parameteric Q learning (today) …

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hands-on reinforcement learning course – part 3 – SARSA

Welcome to my reinforcement learning course ❤️ This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO 🦸‍♂️. Today we will learn about SARSA, a powerful RL algorithm. We are still at the beginning of the journey, solving relatively easy problems. In part 2 we implemented discrete Q-learning …

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Q-learning – Hands-on RL course – Part 2

Q-learning (by Chris Walkins 🧠 and Peter Dayan 🧠) is an algorithm to find the optimal q-value function. It is a fundamental algorithm, that lies behind the impressive achievements of RL In the last 10 years. Venice’s taxis 👆 by Helena Jankovičová Kováčová from Pexels 🙏 Welcome to my reinforcement learning course ❤️ This is part 2 of my hands-on course on reinforcement …

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