Artificial Intelligence: Reinforcement Learning in Python
Artificial Intelligence: Reinforcement Learning in Python
Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications
Created by Lazy Programmers Team, Lazy Programmers Inc. | 14.5 hours on-demand video course
Ever wondered how AI technologies like OpenAI ChatGPT and GPT-4 really work? In this Artificial Intelligence: Reinforcement Learning in Python course, you will learn the foundations of these groundbreaking applications. When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning.
These tasks are pretty trivial compared to what we think of AIs doing – playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible.
What you’ll learn
- Apply gradient-based supervised machine learning methods to reinforcement learning
- Understand reinforcement learning on a technical level
- Understand the relationship between reinforcement learning and psychology
- Implement 17 different reinforcement learning algorithms
- Understand important foundations for OpenAI ChatGPT, GPT-4
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UNIQUE FEATURES
- Every line of code explained in detail – email me any time if you disagree
- No wasted time “typing” on the keyboard like other courses – let’s be honest, nobody can really write code worth learning about in just 20 minutes from scratch
- Not afraid of university-level math – get important details about algorithms that other courses leave out
