Advanced Reinforcement Learning: policy gradient methods
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- The lowest price of Advanced Reinforcement Learning: policy gradient methods was obtained on December 17, 2024 10:56 pm.
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Advanced Reinforcement Learning: policy gradient methods
$69.99
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Advanced Reinforcement Learning: policy gradient methods
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$13.00 in stock
Udemy.com
as of December 17, 2024 10:56 pm
Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: (REINFORCE, A2C, PPO, etc)
Created by:
Escape Velocity Labs
Hands-on, comprehensive AI courses
Hands-on, comprehensive AI courses
Rating:4.77 (94reviews)
1547students enrolled
What Will I 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.
Requirements
- Be comfortable programming in Python
- Completing our course "Reinforcement Learning beginner to master" or being familiar with the basics of Reinforcement Learning (or watching the leveling sections included in this course).
- Know basic statistics (mean, variance, normal distribution)
Target audience
- Developers who want to get a job in Machine Learning.
- Data scientists/analysts and ML practitioners seeking to expand their breadth of knowledge.
- Robotics students and researchers.
- Engineering students and researchers.
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