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LearningByCheating
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LearningByCheating

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

by dotchen · GitHub
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autonomous-vehiclescarladeep-learningMITPython
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In plain words

Train a car to drive in a simulated environment by predicting waypoints and learning from examples.

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2026-07-202026-08-31
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📄 About

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

LearningByCheating has 342 stars on GitHub. It has been forked 105 times. LearningByCheating is written mainly in Python. It has been in active development since 2019. LearningByCheating is available under the MIT license. Its main topics are autonomous-vehicles, carla, deep-learning, imitation-learning.

Frequently asked questions

What is LearningByCheating?

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Is LearningByCheating open source?

LearningByCheating is an open-source project. It is released under the MIT license.

Is LearningByCheating free?

Yes. LearningByCheating is free and open source — you can use, modify and self-host it.

What license does LearningByCheating use?

LearningByCheating is available under the MIT license.

What language is LearningByCheating written in?

LearningByCheating is written mainly in Python.

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