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gymnasium/envs/toy_text/taxi.py

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@@ -139,19 +139,19 @@ class TaxiEnv(Env):
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gym.make('Taxi-v3')
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```
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<a id="is_slippy"></a>`is_raining=True`: If true the cab will move in intended direction with
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<a id="is_raining"></a>`is_raining=True`: If true the cab will move in intended direction with
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probability of 80% else will move in either left or right of target direction with
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equal probability of 10% in both directions.
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<a id="fickle_passenger"></a>`is_raining=True`: If true the passenger has a 30% chance of changing
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<a id="fickle_passenger"></a>`fickle_passenger=True`: If true the passenger has a 30% chance of changing
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destinations when the cab has moved one square away from the passenger's source location.
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## References
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<a id="taxi_ref"></a>[1] T. G. Dietterich, “Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition,”
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Journal of Artificial Intelligence Research, vol. 13, pp. 227–303, Nov. 2000, doi: 10.1613/jair.639.
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## Version History
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* v3: Map Correction + Cleaner Domain Description, v0.25.0 action masking added to the reset and step information
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* v3: Map Correction + Cleaner Domain Description, v0.25.0 action masking added to the reset and step information, added stochasticity
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* v2: Disallow Taxi start location = goal location, Update Taxi observations in the rollout, Update Taxi reward threshold.
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* v1: Remove (3,2) from locs, add passidx<4 check
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* v0: Initial version release

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