Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize
Artificial Intelligence 2.0: The smartest combination of Double Deep Q-Learning, Policy Gradient, Actor Critic, DDPG
4.49 (1330 reviews)
11 723
students
9.5 hours
content
Feb 2025
last update
$109.99
regular price
What you will learn
Q-Learning
Deep Q-Learning
Policy Gradient
Actor Critic
Deep Deterministic Policy Gradient (DDPG)
Twin-Delayed DDPG (TD3)
The Foundation Techniques of Deep Reinforcement Learning
How to implement a state of the art AI model that is over performing the most challenging virtual applications
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Our Verdict
This course is an excellent resource for those looking to gain a deep understanding of various reinforcement learning techniques, including the latest DDPG and TD3 methods. The instructor's teaching style is engaging, making it easy to follow along with complex concepts. However, learners should be aware that some mathematical formulas may be difficult to read due to presentation quality, and the course assumes a strong foundation in programming and Python libraries. Overall, this course provides valuable insights into cutting-edge AI technologies and earns its 4.49 global rating from over 11700 subscribers.
What We Liked
- Covers a wide range of deep reinforcement learning techniques, including Q-Learning, Double Deep Q-Learning, Policy Gradient, Actor Critic, DDPG, TD3, and more
- Instructor's teaching style is clear, engaging and thorough with colorful graphics to explain complex concepts
- Code implementation and theory are both well explained and the course provides optional assignments that encourage hands-on learning
- The updated curriculum includes an introduction to ChatGPT Prize, making it relevant for those interested in cutting-edge AI technologies
Potential Drawbacks
- Some formulas and slides may be harder to read due to small text size or low video quality, which might require extra effort from the learners
- Limited information is provided about how to design a full deep reinforcement learning pipeline, which could make it challenging for learners to apply these techniques to their own projects
- The course relies heavily on Python and PyTorch libraries without thoroughly explaining them, assuming that students have a strong foundation in programming
- While the instructor explains the theory behind TD3 in great detail, some learners may find the implementation part to be too long or repetitive
2346944
udemy ID
01/05/2019
course created date
20/11/2019
course indexed date
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