December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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V function (learning to optimize when the model is available)
If the model is known beforehand then the agent can perform a policy search to find the optimal policy that maximizes the value function. When the model is available, the agent uses a value function that can be defined naively as a sum of the rewards of the future states:
Thus, the value at time-step t for selecting actions using the policy p would be:
V is the value and R is the reward, and the value function is estimated only up to n time-steps in the future.
When the agent estimates ...
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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.