May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Dynamic programming and reinforcement learning
Within the context of reinforcement learning, the dynamic programming approach deals with the interactions between a controller or the agent that needs to take actions and the process within the environment. This interaction takes place with three types of distinct signals:
- State signal: Describes state of the process
- Action signal: With this, the agent (controller) influences the process
- Reward Signal: Provides feedback to the controller based on its most recent action
The agent moves through the solution space with repetitive iterations of a state-action-reward-state cycle. A policy defines the overall behavior of the agent. The policy can be dynamically aligned based on the nature of the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.