MLMI 7 Reinforcement Learning and Decision Making

Aims

This module introduces basic principles of sequential decision making under uncertainty and the application in Reinforcement Learning and Control. Foundations and recent algorithms are covered.

Objectives:

On completion of this module, students should understand:

• the foundations of sequential decision making and reinforcement learning
• the connections between control and reinforcement learning
• the exploration vs exploitation trade-off.