Advanced Reinforcement Learning in Python: cutting-edge DQNs

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: From basic DQN to Rainbow DQN
4.66 (102 reviews)
Udemy
platform
English
language
Data Science
category
Advanced Reinforcement Learning in Python: cutting-edge DQNs
1 698
students
8.5 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, 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

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Advanced Reinforcement Learning in Python: cutting-edge DQNs – Screenshot 4
Screenshot 4Advanced Reinforcement Learning in Python: cutting-edge DQNs

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Enrollment Distribution
4126942
udemy ID
16/06/2021
course created date
21/04/2022
course indexed date
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course submited by
Advanced Reinforcement Learning in Python: cutting-edge DQNs - | Comidoc