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.
Courses : 1
Specification: Deep Reinforcement Learning: Hands-on AI Tutorial in Python
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