Deep Reinforcement Learning

Advanced
Starting at USD 1596.00
12 weeks duration

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

In the course Deep Reinforcement Learning on Udacity, you will master the foundations of reinforcement learning by implementing classical solution methods. You will learn how to apply deep learning architectures to reinforcement learning tasks, training your own agent to navigate a virtual world using sensory data. Additionally, you will explore the theory behind evolutionary algorithms and policy-gradient methods, designing your own algorithm to train a simulated robotic arm to reach target locations. The course also covers multi-agent reinforcement learning, teaching you how to apply these methods to applications involving multiple interacting agents, such as coordinating autonomous vehicles.

About Provider

Udacity
Udacity
Online Education Provider · 302 courses
Description
Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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