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Overview

A simple exercise in RL to control an underactuated car up a hill, based on the classic Mountain Car problem. This builds on the paper by Carl Rasmussen and Malte Kuss here.

To run:

python3 gaussian_car_on_the_hill.py

Add the --visualise=True flag to save out visualisations of the value function and actions through the learning process.

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An implementation of a reinforcement learning algorithm applied to the mountain car task.

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