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19-08-2017, 08:54

Reinforcement Learning and OpenAI Gym

Category: Tutorials » Other


Duration: 53m | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 272 MB
Genre: eLearning | Language: English | Project Files
This course provides an introduction to the field of reinforcement learning and the use of OpenAI Gym software. It details the terminology and core concepts of reinforcement learning, illustrates how OpenAI Gym software incorporates those core concepts, and shows you how to code solutions for reinforcement learning problems present in simple mazes and complex Atari games. Requirements include basic Python programming experience, basic math knowledge, familiarity with the Linux and Bash terminal, and an understanding of how to use Jupyter notebooks.
Master the basic terminology, concepts, and uses of reinforcement learning
Understand how to install and manage reinforcement learning software
Learn about OpenAI Gym's API and how to use it to test reinforcement learning algorithms
Discover how to determine if a problem is best solved with reinforcement learning
Explore the code used to solve reinforcement learning problems in computer games
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