Save for later
Introduction to Reinforcement Learning in Python
In this project-based course, we will explore Reinforcement Learning in Python. Reinforcement Learning, or RL for short, is different from supervised learning methods in that, rather than being given correct examples by humans, the AI finds the correct answers for itself through a predefined framework of reward signals.
In this course, we will discuss theories and concepts that are integral to RL, such as the Multi-Arm Bandit problem and its implications, and how Markov Decision processes can be leveraged to find solutions. Then we will implement code examples in Python of basic Temporal Difference algorithms and Monte Carlo techniques. Finally, we implement an example of Q-learning in Python.
I would encourage learners to experiment with the tools and methods discussed in this course. The learner is highly encouraged to experiment beyond the scope of the course.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 2 hours |
Starts | Jun 28 (148 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Charles Ivan Niswander II |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Learning & Development Facilitator $50k
Learning Trainer $53k
Freelance Learning Specialist $56k
Learning Professional $63k
Learning Generalist $64k
Learning Experience Designer $67k
Audio Engineer & Live Sound Reinforcement $68k
Individualized Learning Specialist $79k
Enterprise Learning Consultant $98k
Global Learning Specialist $106k
Consulting Learning Specialist $108k
Learning and Development Consultant 3 $112k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 2 hours |
Starts | Jun 28 (148 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Charles Ivan Niswander II |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course