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Overview
This Value-Based Methods course from Udacity will train your own agent that navigates a virtual world from sensory data.
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Skill you'll learn
- Value-based reinforcement learning
- Prioritized experience replay
- Deep q-networks
- Double deep q-networks
- Dueling deep q-networks
Programme Structure
Courses include:
- Study Plan
- Deep Q-Networks
- Project: Navigation
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence View 125 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Reinforcement learning fundamentals
- Deep learning framework proficiency
- Neural network basics
- Object-oriented programming basics
- Intermediate Python
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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