When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Deep Reinforcement Learning: Hands-on AI Tutorial in Python
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
₹569

This Course Includes
udemy
4.5 (223 reviews )
4h 3m
english
Online - Self Paced
professional certificate
Udemy
About Deep Reinforcement Learning: Hands-on AI Tutorial in Python
In this course we learn the concepts and fundamentals of reinforcement learning, it's relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.
What You Will Learn?
- The concepts and fundamentals of reinforcement learning .
- The main algorithms including Q-Learning, SARSA as well as Deep Q-Learning. .
- How to formulate a problem in the context of reinforcement learning and MDP. .
- Apply the learned techniques to some hands-on experiments and real world projects. .
- Develop artificial intelligence applications using reinforcement learning..