Reinforcement Learning

abstract · Technology · Level 8 · E9

Each concept here is mapped to its prerequisites — the ideas you'd need first to understand it — all the way down to four foundations: Space, Time, Energy, Pattern. Click any prerequisite to drill down, or scroll for the chain graph.

Trace. Question. Emerge.

Emergence definition

reinforcement-learning requires machine-learning, signal, energy.

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Wiktionary senses

External reference — all senses of the word “reinforcement-learning” on Wiktionary. This atlas concept maps to only the slice of meaning relevant to the prerequisite graph.

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Source: Wiktionary — “reinforcement-learning”. Content available under CC BY-SA 4.0.

Historical origin

Origin language: English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

Neighborhood

Direct prerequisites above, concepts that depend on this one below.

In other languages

Reinforcement Learning German
reinforcement-learning English primary

Prerequisites

What you need to understand first.

Action L1 (requires)

Understanding action is essential for grasping reinforcement learning
Machine Learning L7 (requires)

Reinforcement learning is a subfield of machine learning.

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