Reinforcement Learning Course

(4 customer reviews)

33,799.15

Deepen your knowledge of reinforcement learning! This advanced course covers reward signals, policy gradients, and Q-learning through practical coding assignments. Perfect for learners with machine learning experience wanting to build adaptive, intelligent systems.

Description

This advanced reinforcement learning course delves into the strategies and techniques used to develop intelligent systems that learn from interaction with their environment. You will explore key concepts such as reward signals, policy gradients, and Q-learning. The course combines theoretical instruction with practical coding assignments, allowing you to implement and test reinforcement learning algorithms in various scenarios. With a focus on building and training models that adapt and make autonomous decisions, this course is ideal for those with a background in machine learning who want to deepen their expertise in reinforcement learning.