Gymnasium/docs/environments/toy_text.md

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Toy Text

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toy_text/blackjack.md
toy_text/taxi.md
toy_text/cliff_walking.md
toy_text/frozen_lake.md

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Toy text environments are designed to be extremely simple, with small discrete state and action spaces, and hence easy to learn. As a result, they are suitable for debugging implementations of reinforcement learning algorithms.

Environments are configurable via arguments specified in each environment's documentation.