Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.
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课程信息
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
您将学到的内容有
Formalize problems as Markov Decision Processes
Understand basic exploration methods and the exploration / exploitation tradeoff
Understand value functions, as a general-purpose tool for optimal decision-making
Know how to implement dynamic programming as an efficient solution approach to an industrial control problem
您将获得的技能
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Function Approximation
- Intelligent Systems
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
授课大纲 - 您将从这门课程中学到什么
Welcome to the Course!
An Introduction to Sequential Decision-Making
Markov Decision Processes
Value Functions & Bellman Equations
Dynamic Programming
审阅
- 5 stars81.94%
- 4 stars14.70%
- 3 stars2.35%
- 2 stars0.31%
- 1 star0.67%
来自FUNDAMENTALS OF REINFORCEMENT LEARNING的热门评论
One of the best courses I finished on Coursera, I really like the structure of the course. Textbook is also provided which really helps. Looking forward to next course in the series.
The book is essential reading. It took me longer than the estimates to do the reading and the programming assignments. I would have liked more gridworld examples to get a faster hang of it.
This course is the best course for anyone who needs to enter into the field of RL. Content within the course is excellent and instructors have explained each and every topic very well.
Fantastic course! I have been interested in Reinforcement Learning for a long time and this has been the best introduction I have found so far. It gave me the foundations on the field.
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