Udacity – Deep Reinforcement Learning Nanodegree

Master the deep reinforcement learning skills that are powering amazing advances in AI. Then start applying these to applications like video games and robotics.


  • 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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