Advanced Reinforcement Learning in Python: from DQN to SAC

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: DDPG, TD3, SAC, NAF, HER.
4.50 (165 reviews)
Udemy
platform
English
language
Data Science
category
Escape Velocity Labs
instructor
Advanced Reinforcement Learning in Python: from DQN to SAC
2 577
students
8 hours
content
May 2025
last update
$69.99
regular price

What you will learn

Master some of the most advanced Reinforcement Learning algorithms.

Learn how to create AIs that can act in a complex environment to achieve their goals.

Create from scratch advanced Reinforcement Learning agents using Python's most popular tools (PyTorch Lightning, OpenAI gym, Brax, Optuna)

Learn how to perform hyperparameter tuning (Choosing the best experimental conditions for our AI to learn)

Fundamentally understand the learning process for each algorithm.

Debug and extend the algorithms presented.

Understand and implement new algorithms from research papers.

Course Gallery

Advanced Reinforcement Learning in Python: from DQN to SAC – Screenshot 1
Screenshot 1 – Advanced Reinforcement Learning in Python: from DQN to SAC
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Advanced Reinforcement Learning in Python: from DQN to SAC – Screenshot 4
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4454406
udemy ID
21/12/2021
course created date
12/03/2022
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