Academic Calendar - 2024
Western University Academic Calendar. - 2024
Computer Science 4453A/B
INTRODUCTION TO REINFORCEMENT LEARNING
This course explores fundamental concepts, algorithms, and applications in reinforcement learning, bridging AI and machine learning. Through lectures and practical exercises, students study Markov Decision Processes, Bellman equations, and key algorithms such as Q-learning, and DQN. They discover Reinforcement Learning’s road applicability in robotics, gaming, finance, and healthcare domains.
Prerequisite(s): Data Science 3000A/B.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Breadth:
CATEGORY C
i
Subject Code: COMPSCI
Computer Science 4453A/B
INTRODUCTION TO REINFORCEMENT LEARNING
This course explores fundamental concepts, algorithms, and applications in reinforcement learning, bridging AI and machine learning. Through lectures and practical exercises, students study Markov Decision Processes, Bellman equations, and key algorithms such as Q-learning, and DQN. They discover Reinforcement Learning’s road applicability in robotics, gaming, finance, and healthcare domains.
Prerequisite(s): Data Science 3000A/B.
Extra Information: 3 lecture hours.