Udacity Deep Reinforcement Learning Nanodegree nd893 v1

[G_P2018]

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[center]Udacity Deep Reinforcement Learning Nanodegree nd893 v1[/center]


General:

Deep Reinforcement Learning

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.

Video:

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Height: 720 pixels
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Codec: AVC
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Aspect ratio: 16:9
Bit depth: 8 bits
Color space: YUV
Subtitles: N/A

Audio:

Audio track: 1
Language: N/A
Codec: AAC LC
Channels: 2
Bit rate: 125 Kbps
Compression: Lossy
Sampling rate: 44 Khz

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