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Evolutionary AI: Deep Reinforcement Learning in Python (v2)

Build Artificial Intelligence (AI) agents using Evolution Strategies (ES) and Augmented Random Search (ARS)
5.0 ★★★★★232 studentsCreated by Lazy Programmer Team, Lazy Programmer Inc.Last updated Nov 3, 2025🌐 English

What you'll learn

✓Understand and implement Evolution Strategies (ES) from scratch
✓Understand and implement Augmented Random Search (ARS) from scratch
✓Apply evolutionary methods to MuJoCo (physics simulation environment)
✓Apply evolutionary methods to classic control reinforcement learning environments
✓Apply evolutionary methods to stock trading and portfolio optimization

Requirements

•Python programming with numerical computing libraries (e.g. Numpy)
•Building neural networks (backpropgation not required)
•Calculus, linear algebra, probability are useful

Description

Frequently Asked Questions

Student Feedback

5.0
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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This course includes:
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  • ♾️ Full lifetime access
  • 🏆 Certificate of completion