Reinforcement Learning Specialization
- Offered byCoursera
- Public/Government Institute
Reinforcement Learning Specialization at Coursera Overview
Reinforcement Learning Specialization
at Coursera
Duration | 5 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Reinforcement Learning Specialization
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Reinforcement Learning Specialization at Coursera Highlights
Reinforcement Learning Specialization
at Coursera
- Earn a certificate upon completion from Coursera
- Get access to programming assignments and quizzes
Reinforcement Learning Specialization at Coursera Course details
Reinforcement Learning Specialization
at Coursera
Skills you will learn
More about this course
- The reinforcement learning specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI)
- Harnessing the full potential of artificial intelligence requires adaptive learning systems
- Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end
- By the end of this specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems
- The tools learned in this specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more
- Understand how RL relates to and fits under the broader umbrella of machine learning, deep learning, supervised and unsupervised learning
- Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradient, Dyna, and more)
- understand how to formalize the task as a RL problem, and how to begin implementing a solution
Reinforcement Learning Specialization at Coursera Curriculum
Reinforcement Learning Specialization
at Coursera
Fundamentals of Reinforcement Learning
Sample-based Learning Methods
Prediction and Control with Function Approximation
A Complete Reinforcement Learning System (Capstone)
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