Reinforcement Learning

Description

Reinforcement Learning (RL) is a type of machine learning where agents learn to make decisions by interacting with their environment. This course covers the foundational concepts of RL, including Markov decision processes, value functions, and policy optimization. Students will study various RL algorithms, such as Q-learning, SARSA, and deep Q-networks (DQNs).

Pre-requisites

• AIE250 - Data Modeling
• AIE290 - Advanced Machine Learning

Pre-for

• No X-Requisite course found

Co-requisites

• No X-Requisite course found