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TensorFlow: Powerful Predictive Analytics with TensorFlow
book

TensorFlow: Powerful Predictive Analytics with TensorFlow

by Md. Rezaul Karim
March 2018
Intermediate to advanced content levelIntermediate to advanced
164 pages
3h 39m
English
Packt Publishing
Content preview from TensorFlow: Powerful Predictive Analytics with TensorFlow

Notation, Policy, and Utility in RL

You may notice that reinforcement learning jargon involves anthropomorphizing the algorithm into taking actions in situations to receive rewards. In fact, the algorithm is often referred to as an agent that acts with the environment. You can just think of it like an intelligent hardware agent sensing with sensors and interacting with the environment using its actuators.

Therefore, it shouldn't be a surprise that much of RL theory is applied in robotics. Figure 2 demonstrates the interplay between states, actions, and rewards. If you start at state s1, you can perform action a1 to obtain a reward r (s1, a1). Actions are represented by arrows, and states are represented by circles:

Figure 2: An agent is performing ...

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Publisher Resources

ISBN: 9781789136913Supplemental Content