Value-Based Methods
Offered By: Udacity
Course Description
Overview
Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.
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
Related Courses
Computational NeuroscienceUniversity of Washington via Coursera Reinforcement Learning
Brown University via Udacity Reinforcement Learning
Indian Institute of Technology Madras via Swayam FA17: Machine Learning
Georgia Institute of Technology via edX Introduction to Reinforcement Learning
Higher School of Economics via Coursera