This course covers the fundamentals of reinforcement learning, including Q-learning and deep Q-learning. Students will learn how to create reinforcement learning environments and train agents using DQN. The teaching method includes lectures and practical exercises. This course is intended for individuals interested in machine learning and artificial intelligence.
Overview
Syllabus
Q Learning Intro/Table - Reinforcement Learning p.1.
Q Learning Algorithm and Agent - Reinforcement Learning p.2.
Q-Learning Agent Analysis - Reinforcement Learning p.3.
Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4.
Deep Q Learning w/ DQN - Reinforcement Learning p.5.
Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6.
Taught by
sentdex
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