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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Spatial aggregation

The first unit of the architecture is the spatial aggregation network. It consists of two networks, each for the the following sub-processes:

  • Sensor fusion
  • Spatial features

The overall state includes the state of the vehicle as well as the state of the surrounding environment. The state of the vehicle includes position, geometric orientation, velocity, acceleration, current fuel left, current steering direction, and many more. Environmental states include its components, that is, objects, living beings, obstacles, and their features, that is, their location, geometric orientation, whether in motion or not, and many more. The state of the surrounding objects is perceived through cameras, LIDAR, and so on. Thus, there ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content