Deep reinforcement learning in action.
Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep...
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| Main Authors: | , |
|---|---|
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Place of publication not identified] :
Manning Publications,
2020.
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| Edition: | Video edition. |
| Subjects: | |
| Online Access: | CONNECT |
