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DeepMind Control Suite

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8 February 2018


DeepMind Control Suite

Abstract

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 github.com/deepmind/dm_control. A video summary of all tasks is available at youtu.be/rAai4QzcYbs.

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


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