Course

Reinforcement Learning: Level 02

This course enables learners to implement Reinforcement Learning algorithms. At the end of this course, learners will also be able to understand key concepts of Curiosity-Driven Learning.

5 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Know various policy-based methods for Reinforcement learning
  • Comprehend actor critic methods like A2C and A3C methods
  • Appreciate curiosity driven learning and its function
 Level: 01
Duration: 04 Hours
Pre-requisites: Refer Topics on Mathematics
What’s next: TBD