[Udacity] Deep Reinforcement Learning Nanodegree v1.0.0

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

• 1 Term
• 4 Months
• Study 10-15 hrs / week

• 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.

Size: 2.29 GB

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https://eu.udacity.com/course/deep-reinforcement-learning-nanodegree–nd893