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DeepMind Control Suite


8 February 2018

DeepMind Control Suite


The DeepMind Control Suite is a set of continuous control tasks with a standardised structure and interpretable rewards, intended to serve as performance benchmarks for reinforcement learning agents. The tasks are written in Python and powered by the MuJoCo physics engine, making them easy to use and modify. We include benchmarks for several learning algorithms. The Control Suite is publicly available at A video summary of all tasks is available at

The paper “DeepMind Control Suite” and its source code is available here:

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