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Implementation of the reinforcement learning algorithm Q-Learning on the Mountain Car environment.

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Q-Learning

Implementation of the reinforcement learning algorithm Q-Learning.

Environment

We use the OpenAI Gym environment MountainCar-v0.

The latter has a continuous state space of 2 features which are the car position and velocity.

Its action space is discrete and is composed of 3 actions: "push left", "no push", "push right".

Results

Watch our video to see the results of the experiment on 5000 episodes.

Q-learning with Mountain Car (OpenAI Gym) environment


Côme Cothenet, Kathryn Schutte, Guillaume Fradet

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Implementation of the reinforcement learning algorithm Q-Learning on the Mountain Car environment.

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