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
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX