Advanced AI: Deep Reinforcement Learning in PyTorch (v2)

Build Artificial Intelligence (AI) agents using Reinforcement Learning in PyTorch: DQN, A2C, Policy Gradients, +More!
5.00 (6 reviews)
Udemy
platform
English
language
Data Science
category
Lazy Programmer Team
instructor
Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
305
students
17.5 hours
content
Jun 2025
last update
$89.99
regular price

What you will learn

Review Reinforcement Learning Basics: MDPs, Bellman Equation, Q-Learning

Theory and Implementation of Deep Q-Learning / DQN

Theory and Implementation of Policy Gradient Methods and A2C (Advantage Actor-Critic)

Apply DQN and A2C to Atari Environments (Breakout, Pong, Asteroids, etc.)

VIP Only: Apply A2C to Build a Trading Algorithm for Multi-Period Portfolio Optimization

Course Gallery

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Screenshot 1 – Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
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Screenshot 2 – Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
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Screenshot 3 – Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
Advanced AI: Deep Reinforcement Learning in PyTorch (v2) – Screenshot 4
Screenshot 4 – Advanced AI: Deep Reinforcement Learning in PyTorch (v2)

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6483621
udemy ID
24/02/2025
course created date
21/05/2025
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