Academics [Udacity] Deep Reinforcement Learning Nanodegree

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DESCRIPTION:

WHY ENROLL:

• INDUSTRY SIZE & DEMAND
  Deep Learning Market is expected to grow at the CAGR of 52.1% till 2025
• JOB OPPORTUNITIES
  Demand for AI, DL and ML specialists in the country are expected to see a 60% rise by 2018 due to increasing adoption of automation
• RANKED #08 CNBC
  Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC
• GLOBAL COMMUNITY
  Join a global community of over 50,000 Deep Learning Engineers who have learned

Deep Reinforcement Learning COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

• Foundations of Reinforcement Learning
  Master the fundamentals of reinforcement learning by writing your own implementations of many classical solution methods.
• Value-Based Methods
  Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.
• Policy-Based Methods
  Learn the theory behind evolutionary algorithms and policy-gradient methods. Design your own algorithm to train a simulated robotic arm to reach target locations.
• Multi-Agent Reinforcement Learning
  Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents. These techniques are used in a variety of applications, such as the coordination of autonomous vehicles.

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