Datasets › DeepMind Control Suite
DeepMind Control Suite
The DeepMind Control Suite (DMCS) is a set of simulated continuous control environments with a standardized structure and interpretable rewards. The tasks are written and powered by the MuJoCo physics engine, making them easy to identify. Control Suite tasks include Pendulum, Acrobot, Cart-pole, Cart-k-pole, Ball in cup, Point-mass, Reacher, Finger, Hooper, Fish, Cheetah, Walker, Manipulator, Manipulator extra, Stacker, Swimmer, Humanoid, Humanoid_CMU and LQR.
Source: Unsupervised Learning of Object Structure and Dynamics from Videos Image Source: https://arxiv.org/abs/1801.00690
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Continuous Control | DeepMind Cheetah Run (Images) | DreamerV1 Return 800 | — | — | 4 | Compare |
| Continuous Control | DeepMind Cup Catch (Images) | DrQ Return 963 | Image Augmentation Is All You Need: Regularizing Deep... | denisyarats/drq +3 | 2 | Compare |
| Continuous Control | DeepMind Walker Walk (Images) | DrQ Return 921 | Image Augmentation Is All You Need: Regularizing Deep... | denisyarats/drq +3 | 2 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 364. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels | 4 | 3 | 28 Apr 2020 | ran 6 of 10 samples (4 unverified; 8 pointer-only for licence) |
| Learning Latent Dynamics for Planning from Pixels | 9 | 2 | 12 Nov 2018 | ran 2 of 7 samples (5 unverified; 1 pointer-only for licence) |
| 007: Democratically Finding The Cause of Packet Drops | 1 | 1 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DeepMind Cartpole Balance (Images)
- DeepMind Cartpole Swingup (Images)
- DeepMind Finger Spin (Images)
- DeepMind Cheetah Run (Images)
- DeepMind Cup Catch (Images)
- DeepMind Walker Walk (Images)
- DeepMind Control Suite
7 variant names, as the archive lists them.
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