advancedCertificate$49/mo
Reinforcement Learning Specialization
by Martha White & Adam White · Coursera
4.7(5,600 reviews)
120K+ enrolled4 monthsUpdated 2024-05
What You'll Learn
Understand the fundamentals and key concepts of reinforcement learning
Apply reinforcement learning techniques to solve real-world problems
Understand the fundamentals and key concepts of temporal difference
Apply temporal difference techniques to solve real-world problems
Understand the fundamentals and key concepts of policy gradient
Apply policy gradient techniques to solve real-world problems
About This Course
Four-course specialization covering the fundamentals of reinforcement learning from bandits to deep RL.
Curriculum
Module 1: Reinforcement learning3 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
Module 2: Temporal difference3 lessons
- Introduction to temporal difference
- Temporal difference in Practice
- Hands-on Exercise: Temporal difference
Module 3: Policy gradient3 lessons
- Introduction to policy gradient
- Policy gradient in Practice
- Hands-on Exercise: Policy gradient
Module 4: Deep RL3 lessons
- Introduction to deep RL
- Deep RL in Practice
- Hands-on Exercise: Deep RL
Instructor
Martha White & Adam White
Instructor at Coursera
Pros & Cons
Pros
- Highly rated by students
- Offers a certificate of completion
- High-quality video lectures
- Taught by Martha White & Adam White
Cons
- Requires paid subscription
- Requires significant prior knowledge
- Self-paced requires discipline
$49/mo
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