Value Based Methods
- Offered byUDACITY
Value Based Methods at UDACITY Overview
Value Based Methods
at UDACITY
Duration | 4 weeks |
Mode of learning | Online |
Difficulty level | Advanced |
Credential | Certificate |
Value Based Methods at UDACITY Highlights
Value Based Methods
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
Read more
Value Based Methods at UDACITY Course details
Value Based Methods
at UDACITY
What are the course deliverables?
- Value-based reinforcement learning
- Prioritized experience replay
- Deep q-networks
- Double deep q-networks
More about this course
- Unlock the world of AI with reinforcement learning. Explore diverse machine learning methods. Enroll today and learn online with Udacity's industry experts.
Value Based Methods at UDACITY Curriculum
Value Based Methods
at UDACITY
Study Plan
Deep Q-Networks
Project: Navigation
Value Based Methods at UDACITY Faculty details
Value Based Methods
at UDACITY
Dana Sheahen
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Value Based Methods at UDACITY Entry Requirements
Value Based Methods
at UDACITY
Eligibility criteria
- Reinforcement learning fundamentals
- Deep learning framework proficiency
- Neural network basics
Conditional Offer
- Not mentioned
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