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2021-12-16T16:54:15Z

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@@ Line 5: / Line 5: @@
 * How performance is evaluated.
 * What function is to be adjusted by learning.
-* <Check notes, missing data>.
+* What kind of feedback is available to learn from.
-== Learning Types ==
+== Terminology ==
 * '''Inductive Learning''' - Uses a basic function or rule which maps input to output.
@@ Line 15: / Line 15: @@
 * '''Unsupervised Learning''' - Learns the "correct" output over time without being given any answers.
 * '''Reinforcement Learning''' - Learns from a series of rewards and punishments.

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2021-11-22T20:04:49Z

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An agent's ability to learn is essential for unknown environments. Learning exposes the agent to reality, rather than a human attempting to define and write the reality down.

Learning is meant to modify an agent's behavior, such that it improves performance. However, implementation depends on:
* What is already known by the agent/KB.
* How performance is evaluated.
* What function is to be adjusted by learning.
* <Check notes, missing data>.

== Learning Types ==

* '''Inductive Learning''' - Uses a basic function or rule which maps input to output.
** This tends to be one of the simplest learning implementations.
* '''Supervised Learning''' - Has a dataset of the "correct" output. Trains on this dataset, trying to learn what the correct output is.
* '''Unsupervised Learning''' - Learns the "correct" output over time without being given any answers.
* '''Reinforcement Learning''' - Learns from a series of rewards and punishments.

Artificial Intelligence/Agent Learning - Revision history

Brodriguez: Create page

Brodriguez: Create page