Reinforcement Learning | Intro, Relation with ML, DL, AI & Optimization with practical examples
What to understand:
What is Reinforcement Learning?
How does Reinforcement Learning relate to Machine Learning, Artificial Intelligence, and Optimization?
What is the difference between Reinforcement Learning and Supervised Learning? With example!
What is the difference between Reinforcement Learning and Un-Supervised Learning? With Example!
Difference and Similarity between Optimization and Reinforcement Learning?
When to use Optimization vs When to use Reinforcement Learning? Practical use-cases and examples!
Well, then this is the video for you...
This video starts with a brief introduction to RL, describing the agent, environment, state, and reward. It then takes an example to map these attributes to an actual problem.
The video then details the often confused relation amongst RL, Machine Learning, Artificial Intelligence, Deep Learning, Supervised Learning, and Unsupervised Learning.
The video then compares Reinformcnet Learning and Optimization. Which is a more important distinction than prior, but is often not discussed in general. The video explains how control systems are designed and the role of Model-driven optimization vs Reinforcement Learning in Control design problems like self-driving cars and process automation.