Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.
Overview
Syllabus
- Study Plan
- This lesson covers the study plan and prerequisites for this course.
- Deep Q-Networks
- Extend value-based reinforcement learning methods to complex problems using deep neural networks.
- Project: Navigation
- Train an agent to navigate a large world and collect yellow bananas, while avoiding blue bananas.
Taught by
Dana Sheahen, Arpan Chakraborty and Kelvin Lwin
